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Redesigned and developed the search module using JavaScript with YUI that increased performance metrics by 20%, decreased lines of code by 50%.

Developed a VR platform using Unity3D and C# to train police officers to enable data-driven decision-making and optimize response time by 30%.

Formulated an algorithm using vector math, displacement and threshold to detect the in-place leg movement detection which improved the accuracy to 98%.

Integrated analytics, created a performance metrics dashboard and implemented improvements for Yahoo Mail using Java thereby Improving revenue by 10%.

Enhanced the database read/write performance three times by replacing SQLite with RealmDB along with APK splitting, resulting in a 15% reduction in APK size.

Prepared a tool using Python to help export language translations from CSV file to strings.xml which decreased manual effort from 3-4 hours to 30 minutes.

Developed, maintained and enhanced airline management application using JavaScrip and MongoDB ensuring smooth operation for 120,000 active users.

Deployed a recommendation system for an e-commerce website using Python that led to a rise in revenue by 2 times year on year between 2015 to 2017.

Developed a MEAN stack application for the users to search for doctors nearby using Python. The application was used by 8 doctors for 600+ patients in Texas.

Developed an advanced version of an isometric 2D game using Unity3D and C#. Improved the projection, improving the game's ratings from 3.2 to 4.8 on Web.

Developed a ticket management system and automated the process using Python, reducing manual processing of over 6000 emails per month.

Designed a commenting system to allow dynamic updates and reactions, using Ruby on Rails. Improved the existing code, reducing overall time by 60%.

Developed an advanced version of a 3D game using C Sharp. Improved the projection, improving the game's ratings on the app store from 2.2 to 4.1.

Developed a ticket management system and automated the process using Python, which reduced manual processing of over 6000 emails per month.

Automated the cash reconciliation process using the IBM InfoSphere BASIC programming language which ultimately saved 30% of manual processing time.

Developed a new business innovation application using Python for migrating existing processes, reducing approximately 80% of manual processing time.

Designed documentation for the biopharmaceutical client, using the cloud-based application Veeva Vault QualityDocs, improving user satisfaction by 20%.

Created a robot using Python and artificial intelligence for an Insurance firm. Automating this process helped in reducing the total time by 25%.

Implemented a notification service queue for various platforms including web, iOS and Android using Java reducing the notification failure rate to almost 0%.

Performed sentiment analysis to predict the impact using Python, results obtained corroborated 100% with the election results.

Improved the complexity of the AI to find the shortest path using the A* algorithm, which resulted in an increase in clients' 30% retention rate.

Conceptualized and implemented user privilege features for a game using Python, resulting in quarterly revenue growth of 12% for the company.

Conceptualized and developed a digital menu Android application for effective status tracking resulting in reduced waiting time by 13%.

Created a serverless REST API in Node.js with DynamoDB for effective real-time communication, reducing monthly expense by 33%.

Implemented a route prediction system from public transport history using XGBoost with more than 90% accuracy.

Transformed monolith application into multiple micro-services using AWS Lambda and Kubernetes which resulted in a 200% increase in system efficiency.

Developed Amazon clone e-commerce full-stack web application using Java, the application was then downloaded and used by 1000+ users.

Developed ERP data analytics dashboard using depth first search, breadth first search algorithms in Python boosting quarterly business activity by 20%.

Performed A/B tests to optimize usability for 20+ pages of web application in less than two months using SQL, resulted in 15% improvement in user retention.

Implemented LSTM Neural Networks for predicting future prices of different stocks using Python and TensorFlow resulting in improved performance by 10%.

Implemented a database engine in Java, based on a hybrid model using MySQL and SQLite making data migration faster by 1.5 times.

Designed a Tuberculosis detection software in Java with an interactive GUI, based on patient profile data with prediction accuracy of 90.56%.

Oversaw implementation of Auth0 and setting up the backend database with Mongoose.js and Atlas reducing bugs and daily hurdles by 90%.

Collaborated with the Employee team to ensure that all the employees get their payment on-time using Java, improving employee and team satisfaction by 70%.

Corrected erroneous data in a MongoDB database by creating a migration using .NET Core and validated the correction faster by 3 hours.

Developed python scripts to generate automated alerts to avoid any potential SLA misses improving work efficiency by 2 times.

Utilized the knowledge of Restful API, to webscrape important financial data, improving datas readability and transparency by 70%.

Developed daily MS Excel reports that helped the client in routine system load tracking while managing a team of 9 other individuals.

Designed a university time-table generator algorithm using C++ that halved the time complexity and reduced the space requirement n/2 times.

Developed a Metro Agent Dispatch application for the maintenance of Google server locations using Pega, improving request creation process by 30%.

Deployed a recommendation system to production for an e-commerce website using Java that led to a rise in revenue by 2-fold Y-o-Y between 2015 to 2017.

Developed decision tree-based conversation flows using Azure's Language Understanding System (LUIS) for 10+ interfaces.

Enhanced a multilingual Conversational Assistant using M Bot Framework in C# and leveraged Azure ML services to integrate with Office 365 products.

Designed and maintained Data Ingestion Pipelines to develop intents and entities using Azure's Language US and developed 10 models based on this.

Built an individual conversational assistant for the UN Help Desk using Bot Framework and MongoDB, thereby automating 20+ help desk activities.

Performed A/B testing to improve engagement and customer experience using Python. Created 20+ Power BI reports to analyze performance and the results.

Programmed large-scale distributed systems, PaaS and SaaS solutions using SAP Platform thereby improving sales figures by 5%.

Aggregated customer data from several disparate sources on SAP BW Platform. Used SAP HANA for querying and efficiently managing 20+ ETL Pipelines.

Transferred and Analyzed data with Oracle EBS application using PL/SQL to make sure that data validation is more than 90%.

Demonstrated proficiency in HTML, CSS, JavaScript, and AJAX to design an interactive interface for users to, improving UI by 40%.

Spearheaded metric development for projects by analyzing past data and customer feedback using Python, boosting customer satisfaction rate by 8%.

Spearheaded major pricing restructures by implementing a three tiered pricing model that increased the average sales by 35% and the margin by 12%.

Automated inspection process of probe cards by designing a computer vision model using Python Keras library, reducing average inspection time by 75%.

Optimized SQL code for performance improvements by analyzing millions of records, thereby reducing computation time of core company KPIs by 60%.

Led a 3-member team of data analysts to produce Tableau dashboards and improve the institutions research site, thereby increasing its web traffic by 27%.

Built ETL data pipelines using Python to consolidate demographic and academic data into Snowflake data warehouse, boosting performance by 15% overall.

Provided actionable insights to improve undergraduate course structures by employing NLP-based approach, thus improving average course ratings by 4%.

Assisted in credit card KPI metrics by automating 15 KPI metrics using SQL server and Star schema, thus reducing monthly reporting time by 7 days.

Developed interactive dashboards using MS Excel and improved performance metrics from 48% to 55% feedback rate and 87% to 95% resolution rate.

Performed cohort analysis using BI dashboards that would help determine the cohort rate and thereby succeeded in increasing the retention rate by 25%.

Extracted and cleaned 2M+ records related to medical patients data using NumPy, Pandas and other packages in Python, boosting efficiency by 20%.

Analyzed shopper data using SQL to design A/B experiment and Tableau pre or post analysis, to report that email marketing has an overall impact of 65%.

Engineered analytics process by building automated dashboards, reports and models, and this resulted in stimulating the sales growth by 15% in two months.

Developed a predictive model based on 300 customers data by optimizing inventory management and operations, resulting in $100,000+ cost saving.

Developed a dashboard using Power BI to help healthcarers understand patients history which helped commercialize products, thus boosting revenue by 55%.

Enabled functional groups for product management portal using MySQL, thereby increasing operational efficiency and data accessibility by 35%.

Created Tableau dashboard of claims denial management metrics, which reduced manual work of health insurance carriers by 32%.

Designed and implemented KPI metrics using claims processing model, which trained development team to interpret KPIs, improving their efficiency by 15%.

Predicted an ACO 10% most costly patients using gradient boosting in Python, thereby helping doctors save their time by 80%.

Analyzed customer technical requirements using JIRA for pilot deployments, thereby achieving Customer Satisfaction that impacted 5000+ accounts.

Implemented automated end-to-end business cases and user stories using CA ARD and Hexawise tools, decreasing planning efforts by 10 hours per sprint.?

Automated Data Science Foundations and Programming coursework with open-source PrairieLearn and Docker, saving 15 hours of manual work weekly.?

Created web scrapers to extract data using Spatula and Flake 8, improving real-time access to data in usable format by 93%.?

Visualized data transfer and operations metrics using Python, R, Tableau and Google Data Studio, thereby improving overall data planning process by 75%.?

Led data-driven project using Wilcoxon Rank Test and discovered correlation between patients with LBD and high language deficiency as high as 80%.

Analyzed data on the production employee recruitment strategy using AI and automation tools, providing insights that led to a 25% increase in retention.???????

Contributed to control of material theft using AI by suggesting rotation strategy to the inventory department, thereby reducing theft by a volume by 42%.

Designed and analyzed 10+ experiments using multi-GPUs, thereby improving model performance by 5% and optimizing training time by 60%?

Conducted customer data analysis using Excel providing insights to multiple teams, thereby increasing monthly sales by 50% in the current year.?

Performed detailed analysis of current customer territory and new opportunities utilizing PivotTable, boosting website visits to over 15,000 in 3 months.?

Collaborated with teams to improve website by formulating new campaigns and promotions, resulting in increased brand outreach and 85% conversion rate.?

Designed data warehouse with MySQL, Tableau and provided insights that increased total purchase by 30% and sign-up efficiency by 15%.?

Generalized reports to guide marketers on adjusting Ads expenditure using metrics like CPC/CPM, and increased ROI by 25% in 2 months.?

Analyzed and visualized Instagram engagement data with Excel, Tableau and Hootsuite, increasing Instagram post engagement rate by 35% in 2 months.?

Organized and cleaned pricing/cost data of 5000+ online products using MySQL and enabled pricing decisions, finally launching 1800+ products on Amazon.

Effectively utilized data cleansing by transforming duplicate rows and distorted data distribution, thereby improving data integrity and accuracy by 47%.?

Performed integrity and domain specific checks on consumption data by devising custom Python scripts reducing manual checks by 60%.?

Collaborated with Client Success Managers by assigning Active / Inactive / Locked status to electric meters, thus increasing client revenue by 5%.?

Refined process run time by optimizing existing code algorithms, SQL queries and database partitions, thereby increasing efficiency by 15%.?

Reinforced business expansion by developing cross-platform React Native mobile application, achieving 80% reduction in manufacturing costs.

Implemented web scraper using Selenium and gathered 150+ South American mining company data, increasing sales efficiency within 2 months.

Analyzed millions of records and boosted performance by optimizing SQL code and thereby reducing the computation time of core company KPIs by 60%.

Assisted Credit Card reconciliation by automating 15 KPI metrics using SQL server and Star schema, thereby reducing monthly reporting time by 7 days.

Organized and cleaned pricing/cost data of 6000+ online products using MySQL and enabled pricing decisions, finally launching 1800+ products on Amazon.

Built first version of data dictionary using data analytics platform to map and integrate data into US DNAV, thereby onboarding 15+ new clients into IM space.

Trained 22 employees in advanced SQL and relational database, improving non-technical stakeholders business decision capabilities by 55%.

Enhanced 15 SQL queries, developed Python scripts to ingest data, developed 6 Spark SQL scripts to aggregate loans data generated of worth $10 Million.

Engaged in Capability Maturity Model Integration process documentation and improved quality standards using Excel VBA, SQL by 80%.

Built and nurtured relationships with finance executives using dashboards, Tableau, Excel, SQL, and JIRA, reducing duration of decision making by 15%.

Produced SQL scripts and SSRS reports using Mysql for an internal application spanning an investments portfolio of $90 billion in real estate.

Conducted client interviews to improve job search service and executed web scraping in R, improving efficiency by 70% and saving $16k monthly.

Alleviated learning gaps and instructed students on Analysis and Marketing case studies using Matlab, which resulted in 24% increase in students performance.

Participated in end-to-end Agile SDL activities to deliver a mobile application using Python within just 3 months, which improved user experience by 30%.

Gathered requirements of a finance app using Excel and converted information into acceptance criteria, improving their balance sheet by 18%.

Designed Logistic Regression using Neural Network models to predict real-time failures of a car and notify users for prevention, which achieved a recall of 0.9%.

Discovered customers with high churn propensity using XGBoost, Random Forest, and stacked ML algorithms that helped reduce churn rate by 11%.

Analyzed requirements, created project plans, and implemented various applications using PEGA which helped increase revenue by 9%.

Lead a team of 3 to design and implement an automated data retrieval system parsing data using AWS and Python, resulting in 90% reduction in input time.

Collaborated with ML engineers, developers, and analysts to build a reliable end-to-end data pipeline using Tableau, making inputting data 100% automatic.

Identified and cleaned defects and outliers using statistical tests, resulting in 50% reduction of inaccuracies and improving performance efficiency by 20%.

Created and maintained 20+ interactive dashboards using MySQL and Bubble.io to display key metrics for 8 countries, helping in their decision making by 40%.

Converted raw sales data into actionable insights based using Excel, which helped increase company profit by over 25%.

Wrote complex queries using DDL and triggered them using AWS Lambda to automatically update project statuses, which improved user experience by 30%.

Developed a Policy Center Operational Data Store used to generate reports and dashboards using SQL, improving customer satisfaction by 100%.

Automated pre-processing steps using data wrangling techniques in R, which achieved 15% faster preparation and loading of data for reporting and visuals.

Worked closely with multiple external stakeholders to oversee and coordinate project priorities using Excel, improving net profit figures by approximately 6%.

Created a concise BI dashboard for a prominent mobile carrier using Tableau and helped optimize their re-targeting strategies, improving their ROI by 150%.

Created an index to measure the economic development of Dallas, Colin, Tarrant, and Denton using SQL, enhancing transparency by 55%.

Performed feature extraction and created new variables to build optimized Machine Learning models using Snowflake, with a high accuracy score of 89%.

Performed data manipulation, summarizing and joining different datasets using Numpy and Pandas packages of Python, enhancing visualization by 78%.

Identified inconsistencies in data collected from different sources and worked with business stakeholders using SQL, reducing risk factors by 63%.

Streamlined the acquisition integration process using SQL for FBA businesses using 2 newly acquired companies, resulting in 80% risk reduction.

Conducted an analysis of 2-year product trends using Tableau to detect potential trends and in-demand FMCG to boost revenue by $41M per quarter.

Built Python scripts to pull data daily from MWS API automatically to generate reports that reduced daily manual effort by 20%.

Designed Chrome Extension using qSnap within Amazon Seller Central, resulting in an increase of outbound customer emails by 300%.

Optimized data collection SPs using performance tuning techniques and Python, resulting in an increase in report runtime by 50%.

Developed an inventory optimization algorithm for product slotting at warehouses using Python, improving manual labor operations by 23%.

Delivered a prediction report to stakeholders, based on which the warehouse floor was set using SQL to improve efficiency by 1.5 times.

Developed a Python-based algorithm for Multivariate Spectrum Analysis to reduce the dimensionality of? large and small time series dataset by 35%.

Provided insights on online customer behavior and responses using Data Attribution Modeling improving customer targeting by 32%.

Assembled complex datasets for reporting and analytics requirements of stakeholders and modified existing queries using SQL, increasing efficiency by 20%.

Built dashboards and improved existing dashboards by migrating to BI tools, such as Power BI from Advanced Excel improved efficiency by 78%.

Developed ad-hoc reports and data extracts using Pivot Tables to support daily operations using Veeva reducing complexity by 33%.

Successfully implemented initiatives and collected, analyzed, and synthesized large datasets using SQL, reduced the key quality drivers from 5 to 3.

Analyzed data for an AT&T client to identify deliverables in the Agile environment, reducing the lead time to create deliverables by 10 days.

Completely understood the requirements and built ETL pipelines using SQL and Python, combining 4 data warehouses into 1, in preparation for geo analysis.

Collaborated with 10 international team members to create application system analysis using Tableau based on requirements, helping increase profits by 27%.

Experienced in validation techniques and impact analysis by generating dashboards in Power BI, reducing inaccuracies by 50%.

Constructed a data pipeline to process semi-structured data using Tableau by incorporating 100 million raw records from 14 different data sources.

Designed the data pipeline architecture using Tableau for a new product that?quickly scaled from 0 to 60,000 daily users with a user retention rate of 73%.?

Integrated data from third-party APIs providing data about local language preferences using Snowflake that improved paid conversion rate by 6%.

Ingested streaming and transactional data across 9 diverse primary data sources using Spark and Python enhancing data transparency by 43%.

Created a Python library to parse and reformat data from 19 external vendors, reducing error rate in the data pipeline by 12% and improved efficiency.

Improved customer rapport through a recommended loyalty program using Python that drove wine subscriptions up by 11% thereby increasing revenue 4%.

Worked in a team of 4 to create a cloud-first data ingestion using AWS and Python that improved the processing speed of data by 74%.

Worked with investors to understand needs, and translated their feedback into actionable reports in Tableau, saving 46 hours of manual work each month.

Ingested data from disparate data sources using SQL, Google Analytics and Salesforce API, enhancing vendor solutions for the warehouse by 23%.

Communicated with all departments to understand their needs and requests, and built 20+ data pipelines using Tableau, improving efficiency by 68%.

Developed performance analysis metrics to monitor project implementation using Kafka, resulting in a 15% cost reduction over 2 years.

Refactored data structures and implemented an update on event cache using Snowflake, which helped decrease database load by 26%.

Extracted a huge data set for daily luxury taxi orders using SQL and visualized data with Tableau, ensuring accuracy and reducing redundancy by 55%.

Conducted data cleaning and data analysis using Tableau to monitor app operation status, order stability, improving response effectiveness by 23%.

Contributed to creation of an operation strategy using CABG and a market plan for 10 cities based on data analysis collaborating with 8 cross-functional teams.

Created a new dataset using Tableau consisting of faces of the employees and web-scraping google results to have more than 85% openly available datasets.

Developed API for user registration and verification using Deepface and Flask on Python, successfully hosting the database, improving efficiency by 55%.

Implemented a scheduling function using Python to manage the appointments that allow acceptance/rejection, thereby improving customer satisfaction by 70%.

Worked with Data Scientists in all phases of Data Science project life cycle including data and data cleaning thereby improving data quality by 1.5 times.

Analyzed 15 M rows of clinical trial data set using Tableau and Power BI, successfully collected more than 10 million meaningful business insights.

Executed data mining across massive volumes of unstructured data using Python and SQL, thereby reducing manual production error by close to 30%.

Played a key role in building data-pipeline scripts using SQL to automatically populate new data, thereby ensuring accuracy and saving time 10 hrs weekly.

Performed analysis of Cloud SQL and used Python to connect current data to Google BigQuery, making data transfer possible within only a few microseconds.

Gathered Business requirements, devised KPIs, identified trends and insights, wrote SQL queries, and improved the market analysis report by 1.5 times.

Pipelined clinical data from different sources like SQL Server, PostgreSQL and then loaded it onto a Data Warehouse using master ETL within 23 mins.

Created a rapid rollout plan by connecting donors and recipients of blood plasma using Spss, and suggesting nearest collection with efficacy of 93%.

Utilized DDL and DML commands, Tables, Views, Stored Procedures, User defined Functions, Triggers using SQL to assist patients with 88% efficacy.

Worked on development of the Processing Module using Tableau, which traverses through at least 500 million records at a given point of time.

Implemented SQL queries dynamically and built a recommender system model in Python using machine learning improving recommendations to retailers by 90%.

Addressed and solved carding issues by building a fraud detection system using predictive modeling, thereby reducing fraudulent transactions by 50%.

Collaborated to onboard more customers using advanced technologies, resulting in a rise of sales by 20% for the next 2 years.

Mentored to incorporate a recommendation system through API which resulted in increase of application downloads by 10,000 over a quarter.

Performed statistical analysis using Python, SQL, Advance Excel, Power BI and Tableau, thereby suggesting 2 effective revenue leakage mitigation strategies.

Created custom and interactive dashboards in Tableau using data, thereby helping the sales team track weekly targets and increase productivity by 25%.?

Experimented with the usage of Apache Spark on large datasets to create Machine Learning models that led to a decrease in model runtime by 10%.?

Analyzed specific price points and competitive pricing using SQL and created Tableau dashboards, thus optimizing pricing and resulting in 25% sales uplift.

Built ETL pipelines for data extraction using Redshift, thus transforming large-scale data for running queries within a few microseconds.

Designed commenting system to allow dynamic updates using Ruby on Rails on PostgreSQL database, optimizing extracted data with a single query.

Implemented search query to filter names using the front-end state, thereby reducing additional asynchronous calls to the back-end by 25%.

Created smart resolutions using Natural Language Processing that utilized customer feedback, thus improving the underlying retention engine by 1.5 times.

Determined vulnerabilities in open-source using FAS algorithms by attacking with 3D occlusions, achieving a 20% increase in classification error rate.

Inspected efficacy of MFCC using Mel Spectrogram as a feature extractor, achieving maximum accuracy of 74% male and 76% for female.

Developed ML algorithms using GAN and Autoencoders for low resolution images, achieving 16x decrease in bit rate and max.

Compared Hybrid model to state-of-the-art face anti spoofing algorithms, achieved the least false acceptance rate of 0.23% on mask attacks.

Engineered automation pipeline for vehicle crash preventability analysis using Selenium, SQL and OCR, thereby increasing throughput by 90%.?

Implemented intelligent Q learning agent using 5-layer deep learning-based neural network, thus enabling the agent to secure a score above 512.?

Scraped ten years worth of data from 3 subreddits using API and AWS EMR Notebook, thereby improving text and reduced personal finance concerns by 5%.

Improved the engagement mechanism by focusing on the interaction of the customer with website using JS, which helped increase their interest by 2 times.

Built a variation of a GAN model by applying deep convolutional algorithms which generated handwritten scripts in half of the previous average time.?

Predicted whether to approve credit card applications or not using varied input parameters by building an SVM model, thereby achieving accuracy of 86%.

Performed Regression analysis using R on US Crime data set to find the optimal parameters from various locality demographic parameters with 87% efficacy.?

Performed feature engineering using Stepwise Regression approach thereby adding features which improved customer engagement by 37%.

Profiled Python code for optimization and memory management, enhanced Python scripts using new tools which increased efficiency of the system by 40%.

Conducted Rate Compression analysis by taking into consideration market conditions using transplace scripts, thereby reducing the overall cost by 10%.

Created a discrete event simulation model for the Airline staffing system using R which was validated with real data and found to have met rules 98% of the time.

Described method to create interface general games to the Open AI Gym environment, enhancing customer experience by 69%.

Developed a Game Bot using Reinforcement Learning, that would autonomously play and beat the Atari game, Neon Race Car within 10 seconds.

Built 100+ machine learning models using logistic regression, decision trees, neutral networks, and Python, identified determinants faster by 2.5 times.

Built a model using AI to identify the marketing efforts and the customers from the bank existing customers thereby improving sales prospects by 50%.??

Collected 800,000 restaurant data available online using Octoparse that matched invoice products, thereby improving suggestions to customers by 75%.

Cleaned, categorized invoice and customer data by deploying the data using AWS, thereby helping improve the computation speed by upto 5 times.?

Enhanced the ability to predict inventory level of products using LGBM classifier, resulting in the reduction of inventory level by 23% and saving up to $55 million.

Led TMF Global Rollout team of 15 people and onboarded 400+ clients from industries like Pharma, Fintech, Luxury, and Retail across 60 countries.

Led auditing and reporting tasks to identify revenue leakages, thereby saving $10MM for Fairfax County board of supervisors.

Led a team of 3 to make a document sorting algorithm to identify one section of a larger text collection that is being referred to in a public comment.

Led a team of 6 and used big data to determine which factors contribute to the existence of food deserts and how to predict them.

Led project and communicated with stakeholders to advance Supply Chain forecasting for AkzoNobel Paint Coatings Inc.

Liaised with 3 teams - development, project managers, and architects to share insights on advancing organizational goals.

Completed a telecommunications project to launch blockchain technology and corresponding business disruptions.

Understood the business objectives of all stakeholders and led a team of 5 to deliver 3 major features of a banking portal with 2000+ active users.

Led teams to derive data insights, translated exec requirements into tasks, and coached clients on balanced scorecards to track progress.

Led the ideation, development, and launch of an AI/ML product to improve client organizational performance by 25%.

Led 9 multidisciplinary students to get insights for a non-profit addressing the rising property tax burden on low-income families across 7 districts.

Led a team of 10 to manage logistics operations of 30+ exporters from Delhi and Mumbai with shipments to USA, Europe, and the Middle East.

Led a team of 6 to implement a Big Data System, using biometrics to verify and provide compensation to farmers by the Indian government.

Led a team of 7 to create an automated SLA system to provide quick information and alerts of breaches, reducing reporting time from days to an hour.

Led a team of 4 to build an accounting system for tax data using IBM DB2 for the tax payments of 25 million employed Indian citizens.

Developed a hybrid Django/ReactJS intranet deployed to an on-premise Ubuntu server and integrated with Azure Active Directory to streamline workflow.

Wrote C code using TI Code Composer Studio and used ultra low energy consumption boards, like TI MSP430 and MSP432.

Built a noise adapted frequency detection algorithm to calculate the Hz of the input voltage detected by the ADC of the boards.

Led 6 student developers and managed devops utilizing Git/GitLab and Kanban along with documentation and code standards.

Helped the mentee to finish C++ and Verilog DD1 projects with full grades and get an internship in top MNC for 3 months.

Led 5-member team to use media campaigns and relationship building efforts to increase nonprofit registrations by 175% and improve retention by 30%.

Led a team of engineers, UX designers, an SEO expert, and writers to improve user experience, interface, content, and social media strategy.

Conducted user surveys, industry trends, and competition analysis to identify key features and prioritize product roadmap.

Used behavioral analytics, introduced a few more features which led to boosting website traffic 70% to 30K visitors per day.

Led product ideation to launch online banking website worth $30M to serve customers and multiple stakeholders.

Led UI/UX, technology, testing, and analytics teams to promote product discovery and development, and deliver new products.

Led teams to derive data insights; translated exec requirements into tasks, and coached clients on balanced scorecards to track progress.

Led re-architect effort of a core SaaS product to reduce the platform deployment time for clients by 2 months.

Led employee training on how to create accurate invoices, which increased overall check-out time efficiency by more than 400%.

Guided project team on unit testing with Google Test and continuous integration checks, and automated coding style checks with clang-format.

Contributed over 11,000 lines of code with my team for open-source robotics frameworks and competition code using the CMake build system.

Led 9 students in a game development team to build a side-scrolling platformer focused on beating enemies and avoiding traps.

Helped build a dashboard representing key project metrics to let leadership closely monitor the effectiveness of their customer service process.

Collaborated with multiple teams to implement industry standards and practices like quick-fix decisions and defect triaging, which improved productivity by 17%.

Collaborated with Engineering, Data Science, UX/ UI, and Marketing teams to analyze large client datasets and user behavior and provide insights.

Helped analyze data of Technology, Travel & Retail, and Pharma & Healthcare sectors to improve product performance and quality by over 50%.

Worked with a team of developers to re-engineer a personalized full stack website for a student-run publication on scientific journals.

Redeveloped and designed a default WordPress website to improve its performance and user experience significantly.

As the team lead and presenter, oversaw daily huddles and worked on the backend regarding AJAX and API calls.

Worked in a 3-member team on 3 energy-harvesting projects to produce electricity from vibrations or temperature differences.

Worked with multiple teams to automate solutions using Selenium, Python, PowerShell, and AutoIT scripting to improve efficiency by 54%.

Worked on continually perfecting web pages by analyzing user trends and customer engagement, contributing to 20% reduction in customer complaints.

Worked in a team of 3 to manage security privileges of 600 users and provide the client a consolidated status report of 1,500 users in 5 days.

Implemented a search feature using GraphQL to improve the load time of pages, simplify user experience, and improve developer productivity.

Created a model to help reduce training cost by identifying employees who are most likely to change their current jobs.

Established an in-house creative department, saving the company $370,000 per year in agency payments.

Organized and implemented the company's conference campaign strategy and boosted conference attendance and leads by 130% over the previous year.

Conducted an in-depth communications analysis, created a 45-page communications analysis/plan and presented findings and recommendations to senior executives.

Increased lead generation by 55% by engaging in-demand generation initiatives; running multiple campaigns synchronously, and meeting and exceeding all deadlines.

Promoted and managed 25 collaborative relationships between the media and company executives resulting in better company representation.

Developed a 3-D scanning feature which accurately predicts the best fit in terms of apparel size to reduce apparel returns worth 1.5 billion per year.

Conducted and surveyed customers, improved features to get to the root cause for returning apparels and helped reduce returns worth $500 million per year.

Designed and implemented customer acquisition platform for training and managing technical sales personnel. Accelerated outbound sales cycle by 330%.

Established and curated strategic partnerships with 6 out of 10 top state manufacturing companies which resulted in $20M additional annual revenue.

Conducted interviews, implemented tracking features and took customer suggestions that resulted in a 15% decrease in order cancellations.

Implemented a new online payment solution, yielding a 30% increase in revenue generated $15,000 and registered 60+ new subscribers on the release day.

Conducted market research and competitive research to decide on the price of new products which ultimately helped to increase the revenue by 11%.

Discovered a serious flaw in design that would cause the consoles to overheat by analyzing data, preventing losing business deals of a total worth $10 Million.

Strategized and implemented a new user onboarding flow which Improved user activation rate by 200% and boosted conversions to premium plans by 60%.

Defined a product vision for the digital transformation of customer service processes using RPU, achieving reduction in processing time by 70%.

Developed a deep understanding of business and current processes. Translated all the requirements into user stories which increased efficiency by 40%.

Utilized agile methodology to analyze and identify gaps in the existing business processes and created solutions which saved $500K for the company.

Updated product strategies and roadmap internally, ensuring organizational alignment and project prioritization, which increased overall efficiency by 25%.

Gathered customer feedback from pilot deployment, and measured KPIs of NPS which eventually led to improvement in customer satisfaction by 55%.

Performed A/B tests to optimize usability and stylistic elements for mobile app in less than two months, experiencing 15% improvement in user retention.

Built and nurtured relationships with client executives from three business areas by streamlining communication, which led to $1.5M (150%) in account growth.

Prioritized tasks by conducting multiple grooming sessions with all stakeholders, resulting in 200+ timed deliveries for continuous improvements.

Analyzed internal data discrepancies using SQL and led cross-functional teams of engineers to correct inaccuracies, reducing downtime and tech errors by 7%.

Conducted user surveys, competitive analysis to identify key features using behavioral analytics and prioritized roadmap boosting website traffic by 70%.

Performed economic segmentation for consumer PC business, identifying over 260M customer households and opportunity to increase PC TAM by 9%.

Shipped B2B SaaS products to 3K+ users conducted A/B tests and created user-journey maps which ultimately improved NPS by 18 points.

Orchestrated Agile transformation for $4M Business Unit, Wireframed and optimized backlog sessions to speed-up deployment by 70%.

Created training and marketing content and trained 60+ management and engineering attendees on BI tools, saved $0.5M by internalizing and automation.

Performed quantitative research using A/B testing and customer surveys to prioritize product roadmap, which improved user engagement by 33%.

Increased product personalization and customization capabilities, which resulted in an annual net profit of $6M and a ROI of 16%.

Improved Point of Sale (PoS) penetration by 30%, resulting in a forecasted 5-year revenue of $44M, with an ROI of 8.3%.

Created plans to merge related products into one, streamlined many products, which led to reduction in the development costs by 25%.

Conducted evaluative testing with 10+ participants using InVision; synthesized and designed against findings which reduced bounce rate for user flow by 30%.

Led the transition to a paperless practice by implementing an electronic booking system, reducing cost of labor by 30% and office overhead by 10%.

Spearheaded pricing restructure by redirecting focus on consumer willingness to pay instead of product cost which increased average sales by 35%.

Managed teams and stakeholder communication, and oversaw the whole product development lifecycle, which increased customer satisfaction by 67%.

Designed and implemented A/B experiments for our product to improve the conversion rates by 20% and reduce churn by 10%.

Implemented long-term pricing experiment using Time based pricing which positively impacted customer satisfaction and improved customer lifetime value by 32%.

Planned and executed a referral program for active customers, which led to a net increase in new users of 29000 annually.

Worked closely with instructors to build a coding environment for students to improve engagement and course completion by over 45%.

Oversaw a team of 5 developers to create an interactive coding environment, and talked to 50+ instructors which led to an increase in user base by 33%.

Developed a feature to grow signups for programming-related classes.which surpassed expectations by 21%.

Managed LMS to track, understand, and mitigate tech problems, including issues related SSO which ultimately reduced churn rate by 12%.

Pioneered a new revenue stream of offering targeted paid ads to select customers in exchange for rev share from sales, increasing revenues by 2.5%.

Partnered with different brands and collaborated closely with Marketing to improve merchandising of product lines which increased revenues by 10%.

Developed performance metrics to enable decision making using data, improved KPIs which increased the efficiency of business processes by 17%.

Defined requirements for a new product by conducting research and identifying key customer needs, leading to an increase of 36% in daily sales per store.

Led a cross functional process improvement project using Kaizen 5s framework which reduced machine refill time by 41%.

Launched featureS for an app that prevented users from purchasing expired products, improving experience and increasing positive sentiment by 45%.

Analyzed consumer data to identify a key need, implemented changes to our supply chain to solve the need by providing 40% weekly inventory rotation.

Conducted heat map analysis, analyzed conversion rates and consumer buying behavior which increased foot traffic near the smart power shelves by 5%.

Oversaw successful product launch by creating an execution plan based on demographics and supply chain feasibility in 20 cities.

Improved Wayfair personalized customer targeting strategy after analyzing 6 major e-commerce competitors, which increased revenue by 13%.

Designed email marketing campaigns after surveying 800+ customers to understand their pain points, resolved and improved user experience by 15%.

Defined success metrics and coordinated with cross functional teams and employers which improved acceptance rate of the metrics by 65%.

Designed custom formula fields, workflows for automated alerts, field updates, and email generation using Scratch Orgs, reducing manual work by 86%.

Provided direction for process enhancements using Whatfix and prioritized critical deadlines across all the projects, which helped improve efficiency by 22%.

Worked with Salesforce Architects and Developers to communicate requirements for APEX coding, enhancing the CRM process by 15%.

Held user and administration training sessions for clients to utilize Salesforce and its programs, like Asana, Whatfix, and Quip, achieving a 98% retention rate.

Designed and maintained Salesforce standard objects and junction objects using Salesforce CLI while also structuring profiles, improving workflow by 33%.

Introduced Salesforce Communities in the Org using Social25 to provide a better experience to the users, increasing customer satisfaction by 40%.

Participated in the migration and cleaning of large datasets into Salesforce from external systems using ZoomInfo, improving the CRM service by 88%.

Automated complex business processes using Salesforce Process Automation tools such as Lightning Flows saving time for custom development by 40%.

Customized UI using aura components, visual pages, and provided custom configurations using apex classes which increased user engagements by 20%.

Integrated applications with Salesforce using REST APIs and integrated applications running on Heroku with Force.com, which increased turnover by 7%.

Managed application enhancement requests, created tasks and tracked them in JIRA. Modified builders, which reduced bugs and defects by 77%.

Implemented Volunteers for Salesforce app using Whatfix to automate volunteer management. Customized defaults within Nonprofit Cloud for 1000+ users.

Led a team of 5 engineers and collaborated with multiple teams to launch a Sales Cloud platform for a firm, improving revenue in Europe by $50M+.

Developed new payment integration methods for SMBs to use PayPal, increasing mobile payment share by 8%, generating $20B+ in payment volume.

Collaborated with the design team to perform various essential operations using Whatfix and achieved a 85% retention rate by deploying new innovative features.

Configured the Salesforce platform via settings, role hierarchy and validation rules. Used data mapping to maintain a minimum retention rate of 60%.

Presented customer care work stream and demonstrated technical functionality in Salesforce during end-to-end playback for 160+ client representatives.

Designed Process Flow Diagrams to represent the clients customer service and support processes using MS Visio, improving sales turnover by 5%.

Developed custom reports and dashboards in Salesforce for different users in the organization as per business requirements improving efficiency by 15%.

Coordinated with offshore teams to handle Salesforce Administration and implementation for users, which ultimately reduced usual manual effort by 25%.

Created a Sales Cloud App for a company using Salesforce and Jira, which ultimately increased the user base of the company by 15%.

Configured and gathered requirements, customized, and implemented a functional and secure salesforce org which increased the revenue by 5%.

Built and normalized data models to analyze the best performing listings using SQL and NoSQL queries, which showed accuracy as high as 95%.

Maintained the Salesforce platform by monitoring support tickets and employee workflows. Trained sales reps that made the sales process 24% faster.

Designed custom formula fields, validation rules, workflows, approval processes for automated alerts using Scratch Orgs, reducing manual work by 86%.

Provided direction for process enhancements using Whatfix and prioritized critical deadlines which helped improve efficiency by 22%.

Held user and administration training sessions to utilize Salesforce and its respective programs, like Asana and Quip, achieving a 98% retention rate.

Designed, set up, and maintained Salesforce standard objects, custom objects, and junction objects using Salesforce CLI, improving workflow by 33%.

Involved in requirements gathering to customize and utilize the full functionality of the Salesforce CRM solution to improve user engagement by at least 70%.

Introduced Salesforce Communities in the Org using Social25 and Five9 to provide a better experience, increasing customer satisfaction by 40%.

Created reports using Conga Composer and further implemented Docu-Sign, thereby automating the sales processes and improving sales by 80%.

Managed internal sales database for eCommerce solution company using Whatfix to preserve data integrity and improve business efficiency by 25%.

Worked with client and project team to help with requirements gathering and implementation using Salesforce improving client satisfaction by 33%.

Created custom report types and dashboards to meet the requirements of the decision-makers using Youreka improving business decision making by 65%.

Created and maintained the email templates to be used in the Workflows, Auto Assignment Rules using Sales Cloud thereby reducing work downtime by 30%.

Implemented Salesforce reporting by configuring Reports folders helping teams utilize Salesforce as a sales tool and save upto 25% time spent in reporting.

Designed, set up and maintained Salesforce standard objects using Whatfix, thereby improving workflow rules by 70%.

Utilized de-duping, loading and exporting tools for data bulk using Data Loader, Admin Garage and Lexi Loader, thereby ensuring 100% data integrity.

Created Salesforce objects and related metadata necessary to support customizations using Salesforce Lightning, reducing manual work by 48%.

Created users, roles, and public groups using Tooling API and implemented role hierarchies, improving sharing access among users by 86%.

Created page layouts to organize fields, custom links, related lists using Salesforce CLI, improving CRM response by 45%.

Designed workflows, validation rules and auto-response rules for automating business logic, increasing the clients sales numbers by 34%.

Uploaded records to clean and de-duplicate bulk loads, and used Salesforce data tools for data migration, ensuring a 100% shift to Salesforce CRM.

Designed, developed, and implemented custom Apex classes to handle business logic and used debug logs, improving overall performance by 23%.

Used Apex Data Loader to migrate data, and designed and developed Apex classes, VisualForce pages, and Apex triggers to boost efficiency by 44%.

Developed workflows and approval processes for various policy management using Salesforce Flow, helping improve customer outreach by 64%.

Conducted walkthroughs with stakeholders, and performed rapid impact analysis of requirements using Hevo Data, improving risk assessment by 74%.

Conducted walkthroughs with stakeholders, developed effective and user-friendly solutions to meet requirements, boosting CRM services by 70%.

Managed user setups, profiles and sharing rules, and customizations of objects using AppExchange, which helped reduce customer complaints by 58%.

Served as Primary Salesforce administrator for the Salesforce environment using Heroku and Salesforce CPQ with 1700+ users.

Managed user accessses by performing administrative tasks such as setting up users, updating fields, customer objects increasing operational efficiency by 25%.

Creation and modification of user's account in Salesforce commerce cloud, service cloud, marketing cloud thereby improving customer experience by 30%.

Maintained the Salesforce platform by monitoring support tickets, user issues, and employee workflows thereby improving work efficiency by 20%.

Performed QA testing after Critical Updates to transition customer data smoothly to retain performance and usability of Salesforce thereby improving usability by 55%.

Trained sales reps on CPQ, Site forecasting and Data visualization, creating efficiencies that made the sales process 24% faster.

Integrated Marketo, Oracle EBS, Drupal, Netsuite and other cloud-based tools to satistifce business needs improving profit margin by 7%.

Created 500+ new user-profiles and resolved 20+ user issues per week using Herokus Toolkit for Salesforce with a 100% success rate.

Introduced changes to internal Salesforce processes by adding additional verification steps, decreasing the incidence of errors by 27%.

Integrated 5+ additional cloud-based tools into Salesforce, including Marketo and Netsuite thereby improving revenue qoq by 17%.

Working closely with the development team to customize, develop, design and manage ongoing system solutions to meet the organizations goal with more than 98% accuracy.

Customized various Salesforce standard object leads, accounts, contacts, opportunities, activities and custom objects which improved revenue generation by 36% qoq.

Developed document working prototypes and workflow diagrams to facilitate better system understanding thereby reducing manual time taken by 27%.

Participated in validation and verification activities such as test planning, test execution, troubleshooting and issue management using Excel reducing work downtime by 53%.

Conducted Requirement Gathering, Business Analysis and coordinated project deliverables using agile methodology thereby improving project deliverables by 33%.

Worked towards developing solutions and organizing, planning, creating & delivering compelling proof of concept demonstrations of different products with 96% efficiency.

Managed and trained the team to understand the customer's requirements and deliver the right solution thereby resulting in 20% improvement in customer experience.

Worked on the salesforce project implementation partnering with the development & delivery teams as per the customers requirements increasing revenue by 6%.

Used SOQL and SOSL for data fetching and manipulation needs of the application using platform database objects thereby improving user engagement by 35%.

Developed reusable, maintainable optimized Triggers and Apex codes that allows developers to execute flow and transaction control statements by 1.5 times faster.

Worked on Force Platform technologies including Apex, Triggers, Visual Force and workflows improving end-to-end product development experience by 50%.

Drove ROI and customer satisfaction through active monitoring and analysis of business performance data using Salesforce solutions improving profit margin by 3%.

Built 4 Salesforce apps for tracking and measuring customer satisfaction and sales performance, saving 1000+ employee hours/week across 3 departments.

Made 20+ improvements to existing Salesforce solutions, increasing the data collection efficiency by 14% and introducing 5 new metrics.

Introduced the practice of integrating blockchain solutions into the companys Salesforce use thereby improving speed of data sharing by 2 times.

Implemented the Nimble AMS Solution for different requirements. Configured and integrated third-party applications reducing average customer issues by 7%.

Responsible for the delivery of the largest customer-centric Technology and Digital Transformation Program undertaken at SBI having valuation of more than 550 crores.

Managing multiple stakeholders such as Business, Partners, Product, Design, Commercial, Legal, Operations, FMG thereby improving project delivery time by 31%.

Prepared detailed Solution Approach wireframes and improved existing products thereby improving end user satisfaction by 33%.

Responsible for CRM Configuration, E2E module management of planned releases for India and making di?erent modules go live with 95% efficacy.

Mentioned the required API structures to store correct user data in LOS, LLMS, OCAS, YONO, and database thereby reducing data redundancy by 11%.

Articulated strategy, customized themes in collaboration with technical teams and solution Executive for a smooth transition to SIT & UAT with 97% accuracy.

Developed a robust communication flow pertaining to the project's business requirements between 20+ personnel teams dispersed across geographic locations.

Used de-duping, loading and exporting tools, for bulk of data using Data Loader and workbench, ensured and improved data integrity by 3 times.

Created and updated users, reports and dashboards to track pipeline/stages for management visibility reducing work downtime by 13%.

Performed user & administration training sessions for clients to utilize Salesforce and respective programs to improve user engagement by 2 times.

Designed and deployed the Custom objects, ER data model, Workflow Rules, Auto-Response Rules and Visual Force Pages to suit the needs of the application perfectly.

Designed and developed Apex Classes, Controller Classes, extensions and Apex Triggers to improve user engagement by 30%.

Worked closely with Sales Team business analysts and performed a detailed analysis and designed the solution by customizing standard objects of SFDC with 90% accuracy.

Developed SOAP-based Web Services for External Systems to communicate with Salesforce helping few small employers to increase their revenue by 10% on average.

Developed Various Web Services classes such as Soap and Rest based to communicate with external web services improving standardization by 15%.

Developed custom S-Controls with javaScript and Apex Web services, Tabs, validation rules and Components to improve work productivity by 2 times.

Used Data Loader for data management in force.com platform and Eclipse for a development environment to improve data efficency by 20%.

Used Data Loader and bulk import or export of data from Salesforce.com objects and used it to read, extract, and load data from comma-separated files with 90% accuracy.

Implemented Salesforce from end-to-end to drive business value using Tableau dashboards as call to action, improving responsiveness by 40%.

Heard and prioritized requirements of C-level executives for an enterprise CRM solution using Gong, and suggested best practices increasing efficiency by 46%.

Customized user roles and settings to ensure that protected data is available only to authorized users by using Salesforce Shield, improving security standards by 84%.

Created email templates, mail merges and automated email processes using VisualForce to send installation instructions improving client satisfaction by 42%.

Deactivated users to release licenses and created custom fields, tabs, applications, and home page components using Cloud Flow, automating 35% of the sales reps jobs.

Developed and deployed workflows and approval processes for opportunities, products, and assets using Salesforce Enterprise Edition, increasing the balance sheet by 15%.

Monitored and resolved service requests, specifically visibility issues involving custom profiles and sharing rules using VisualForce, reducing resolution time to 1 hour.

Completed cohort data analysis using BI dashboards that would help determine the cohort rate and thereby succeeded in increasing the retention rate by 15%.

Analyzed Ecommerce and Retailers data using SQL to design A/B experiment and Tableau pre-/post-analysis, to report that email marketing has an overall impact of 85%.

Analyzed customer technical requirements using JIRA for pilot deployments, thereby achieving Customer Satisfaction that impacted 4000+ accounts.

Analyzed data on the production employee recruitment strategy using AI and automation tools, providing insights that led to a 45% increase in retention.

Designed and analyzed 10+ experiments data using multi-GPUs, thereby improving model performance by 12% and optimizing training time by 50%

Conducted customer data analysis using Excel providing insights to multiple teams, thereby increasing monthly sales by 30% in the current financial year.

Performed detailed analysis of current customer territory and new opportunities utilizing PivotTable, boosting website visits to over 25,000 in 4 months.

Analyzed and visualized Instagram engagement data with Excel, Tableau and Hootsuite, increasing Instagram post engagement rate by 41% in 3 months.

Analyzed millions of records and boosted performance by optimizing SQL code and thereby reducing the computation time of core company KPIs by 75%.

Analyzed data from 15000 monthly active users and used outputs to guide marketing and product strategies, increased average app engagement time by 3x and decreased drop off rate by 40%.

Designed 5 onsite databases and maintained a group of 15 databases using SQL. Through automation, improved efficiency 15%, freeing up 30 manual work hours per month.

Designed user-focused database by optimizing in-application statements using SQL and drove 93% stability, reliability, and performance.

Developed an ETL Database Model using SQL to carry out new procedures while creating various database warehouse dimensions to accept ETL outputs with 90% efficiency.

Gathered requirements from business analysts, subsequently developing physical data models using SQL while creating DDL scripts to design database schema and database objects for 10 customers.

Performed database defragmentation while optimizing the entire SQL queries, improving database performance and loading speed by 85%.

Led the development of 8 database projects using SQL for one of the company?s largest clients with on-time delivery and 21% under budget completion.

Designed 6+ onsite databases using SQL while maintaining a group of 15 databases, subsequently reducing production costs by 30% and boosting the overall departmental productivity using various data modelling techniques.

Demonstrated expertise in using SQL data modelling to boost departmental productivity and cut the overall production cost by 18% yearly.

Developed custom SQL scripts to improve the database efficiency, reduce data load time and enhance performance by 15%.

Developed 13 database application forms and managed multiple projects using SQL in coordination with other tools with 96% success rate.

Imported and exported data from text files, saved queries, or databases using Excel, used automatic outlining, inserted subtotals, created advanced filters, and used database functions with 98% accuracy.

Created pivot tables and charts using worksheet data and external resources in Excel, modified pivot tables, sorted items and group data, and refreshed and formatted pivot tables which helped understand trends with 40% more accuracy.

Coordinated with technical teams to create pivot tables and charts for the automation of a spreadsheet containing pricing and costs for specific materials and items, which resulted in a reduction of over 300 manual work hours per year.

Automated manual data entry for invoices, leads, and client information using Excel formulas and pivot tables, which reduced work hours by 15 per week.

Consolidated 13 disparate spreadsheets with over 3K line items into a master spreadsheet using Excel, which provided an improved overview to facilitate data-driven decision making for a manufacturing business with a $1M annual operating budget.

Monitored office inventory by tracking stock items with advanced skills in MS Excel thereby reducing extra monthly expenses on different accessories by 4%.

Automated hours of manual work with MS Excel tasks using macros which lead to a 22% boost in productivity and reducing expenses.

Worked with PM team to create Gantt-charts and optimize internal processes using Excel which helped allocating scarce resources and plan deadlines with 98% accuracy.

Compared source data with system entries to detect errors using Excel for ensuring more than 95% accurate end results.

Managed data reporting for sales, prospects, and cost accounting using Microsoft Excel spreadsheets, including using pivot tables and Vlookups to track metrics thereby improving business decisions by 2x.

Responsible for data quality and process effectiveness in support of the BYC centralized data team which includes, master data management thereby reducing overall data redundancy by 3%.

Developed and maintained data quality goals, standards, processes and all data integration of information between internal and external applications which improved overall efficiency by 25%.

Identified areas for data quality improvement, helped to resolve data quality problems and recommend measures to prevent reccurrences which reduced expenses by 7% annually.

Reconciled data quality issues between risk systems and risk database for smooth and accurate data flow which reduced security threats by 78%.

Executed control model report to see any data quality issues that flows through batch files and evaluated the output of data control points for completeness and maintaining at least 90% accuracy.

Defined and delivered data quality management strategies, standards, policies, procedures, initiatives and governance models which ultimately helped eliminating inaccurate data in the system by 15%.

Worked on improving data quality issues of federal data to increase accountability of vendors invoices which involves $1m of state funds.

Involved in data quality profiling, data quality measurement, and analysis of data involving data stewards and data owners which ultimately improved the overall data quality by 15%.

Identified, compared, and resolved data quality problems using logic and statistics compare tools. Evaluated business impact of specific data quality issues which saved thousand of dollars annually.

Build data quality assessment and measurement of critical data utilized by Citi strategic systems and processes supporting Citi Global Functions and Sectors reducing security threats by 11%

Conducted 100+ complex business problem analyses using power BI to reduce operational and financial risk as part of the client?s compliance strategy with more than 90% efficiency.

Developed custom Microsoft Power BI dashboards, visualizations, and interfaces with Microsoft SSRS to deliver meaningful and actionable insights within just 3 days.

Comprehend business requirements in a BI context and developed 24+ data models to convert raw data into actionable insights which helped the business to identify weak products.

Designed and developed BI reports and provided invaluable insights about business which improved overall business decision making by 35%.

Collaborated with business users, collected requests, and updated the set of existing BI reports to accommodate business needs which improved business efficiency by 27%.

Generated and delivered quality BI reports to customers by conducting quality assurance checks and recorded a 75% increase in customer satisfaction.

Worked with senior management team to develop various Power BI Dashboards and Data Warehousing solutions thereby improving sales turnover by 6%.

Embedded 28 Power BI reports on a Salesforce portal page and successfully managed access to data for over 5K users using Roles.

Provided continued maintenance and development of bug fixes for existing and new Power BI reports thrice a month for 1.5 years.

Led the development of a reporting solution suite containing 20 Power BI reports of RW using Microsoft's latest in-memory database technology for 9 corporate customers.

Established updated data strategies to revamp current methodologies and ensure data-driven transformation in 1.5 years.

Trained a team of 80+ Data Management specialists to exceed company metrics and bring in a 30% boost in geographical footprint.

Managed infrastructure that supported data feeds from 100+ Travel Agencies from all parts of the world with 90% efficiency.

Collected and analyzed data in order to evaluate business performance, employee satisfaction, and improve customer experience by 2 times.

Managed and maintained large databases, completed the budget analysis, and was in charge of communications with stakeholders thereby improving business decisions by 25%.

Resolved any database software issues and worked on the improvement of the whole data collection process - increased the efficiency of data collection by 40% within two years.

Acted as Project Manager for the Data Expansion Project, which increased the geographical footprint of the company's product offering by 20%.

Entered and managed protocol-defined tests data and passed it into the Oracle Clinical Lab Tables for 10,000+ local laboratories.

Scheduled and chaired meetings, inspected technical data, discussed milestones, contract coverage, and weapon system maintenance plans with extremely high accuracy.

Build, maintain and assure the validity of data files and panels contained in the clinical data management system with more than 95% accuracy.

Harvested nuggets of competitive information from data sets and creating dashboards and pictograms to spur and target sales efforts thereby generating $10 million in ad revenue.

Cultivated subscribers by using data manipulation and analysis to discern customer habits and needs, then turned the intel into robust, user-friendly reports for the editorial team with accuracy as high as 98%.

Supported the editorial and layout staff by creating award-winning pictograms, maps, pie charts and more to illustrate key facts and trends in news stories with 100% clarity.

Earned kudos for supporting successful flagship business initiatives in media relations, HR and legal through data analysis and the creation of presentations and dashboards resulted in positive user ratings.

Worked closely with the UX group to upgrade and enhance our platform and the user experience by creating new interfaces and infographics depicting complex data sets which improved user satisfaction by 11%.

Created numerous white papers, blog posts and articles on data visualization best practices including one of the most downloaded papers of 2013.

Owned the design, development and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions and communicate key concepts to readers within half of alloted time.

Led the complete lifecycle of visual analytical applications, from development of mock ups and storyboards to the complete production-ready application within 5 days.

Interfaced with data miners and analysts to extract, transform and load data from a wide variety of data sources using SQL and Ruby with more than 95% accuracy.

Created visualization dashboards for more than a dozen online reports helping clients identify opportunities to sell more advertising thereby increasing sales by 7%.

Built out the data and reporting infrastructure from the ground up using Tableau and SQL to provide real-time insights into the product, marketing funnels, and business KPIs with 99% accuracy.

Designed and implemented A/B experiments for products to improve the conversion rate by 20 basis points and reduce churn by 14 basis points.

Built operational reporting in Tableau to find areas of improvement for contractors resulting in $160K in annual incremental revenue.

Partnered directly with the executive team as the first data hire to formulate and report on KPIs across their web properties that received 355M visitors annually using SQL and Google Sheets.

Built a logistic regression model to help the SEO team decide which keywords to target, resulting in a 23% lift in YoY site visitors in 2017.

Collaborated with product managers to perform cohort analysis that identified an opportunity to reduce pricing by 35% for a segment of users to boost yearly revenue by $320K.

Developed root cause reports to address problems with customer conversions, successfully revealing insights that boosted conversions by 52%.

Developed and owned reporting for a nationwide retention program with Python, SQL, and Excel, saving 80 hours of monthly manual work.

Identified procedural areas of improvement through customer data, using SQL to help improve the profitability of a nationwide retention program by 8%

Applied models and data to understand and predict repair costs for vehicles on the market, and presented findings to stakeholders thereby improving decision making efficacy by 60%.

Analyzed application access paths, transaction rates, & data volumes in order to determine the optimal physical database structure, normalization strategies & indexes reducing DASD & CPU expense by 45%.

Implemented scripts for performance tuning, backup & recovery procedures, & load strategies ensuring no system downtime.

Performed root-cause analysis on external & internal data identifying points of interest & improvement resulting in a 60% performance enhancement.

Architected & implemented index, range partitioning & partitioning key strategies on multi-partitioned databases in order to reduce data shipping between partitions improving performance by 65%.

Developed & implemented proprietary models & algorithms leveraging current client data in order to identify bottlenecks increasing profitable sales with a 55% margin improvement.

Constructed a financial database to assess predictive models enhancing accuracy as well as developed financial engineering models that increased prediction accuracy by 70%.

Architected & developed a new conceptual & logical data model depicting a new streamlined approach that removes recurring data sources & system interfaces resulting in added functionalities & 60% cost savings.

Designed conceptual data model based on the requirements, Interacted with non-technical end users to understand the business logics with 98% efficiency.

Achieved super-user level of expertise with Adaptive Metadata Manager, mastering the metamodel and developing load templates for business and technical metadata with high customer satisfaction.

Produced initial iterations of an Enterprise Logical Data Model for the Consumer domain, enabling gap analysis for acquisition of Master Data Management software with high efficiency.

Built 100+ Tableau reports, dashboards, and metrics in Enterprise Data Warehouse, resulting in a 45% improvement in efficiency.

Designed and maintained 60+ user guides/training material/tip sheets, resulting in a 26% improvement in employee retention and a 10% decrease in turnover.

Created 500+ interactive filters, parameters, and calculations for dashboards and worksheets in Tableau improving quality by 35%.

Built and published 80+ interactive dashboards on Tableau Server, resulting in a 63% increase in revenue and a massive growth in Ebitda.

Collaborated with data stewards to test, clean, and standardize data using Tableau to meet 100% of business requirements with almost zero downtime.

Developed and reviewed simultaneous SQL queries in Tableau Desktop to validate both static and dynamic data for data validation with 95% accuracy.

Gathered requirements and designing solutions, through developing code/reports, to testing and release/deployment using Tableau thereby performing 100% of development activities.

Drove 25+ recurring engagements with the user community to understand their needs and recommend optimal reporting solutions

Spearheaded learning opportunities for Tableau Desktop developers to design for performance within Tableau Desktop and Server with high efficiency.

Used advanced chart visualizations in Tableau such as dual axis, box plots, bubble charts, and waterfall charts to solve complex problems and to create highly interactive dashboards and visualizations.

Deployed a recommendation engine to production to conditionally recommend other menu items using past order history and data, increasing average order size by 9%

Implemented various time series using forecasting techniques to predict surge or any change in orders, proactively lowering customer wait by 21 minutes.

Designed a model in a pilot to increase incentives for drivers during peak hours using Artificial Intelligence, increasing driver availability by 48%.

Led a team of 6 data scientists to model the ordering process in 4 unique ways, reported results, and made recommendations to increase order output by 12%.

Built a customer attrition random forest model for clients likely to opt-out by providing relevant product features for them that improved monthly retention by 23 basis points.

Coordinated with the product and marketing teams to determine what kind of client interactions resulted in maximized service opt-ins, increasing conversions by 35%

Partnered with product team to create a production recommendation engine in Python that improved the length OnPage for users with $448K in incremental annual revenue

Compiled and analyzed data surrounding the prototypes for a prosthesis using Machine Learning and AI, which saved over $0.5M in its creation.

Collaborated with product managers to perform cohort analysis that identified an opportunity to reduce pricing by 14% for a segment of users to boost yearly revenue by $432,000

Constructed operational reporting in Tableau to improve scheduling contractors and workers, saving $120,000 in the annual budget.

Designed and developed analysis systems with ML and AI to extract information from large scale data leading to 12% increase in market share.

Predicted product sales correctly by applying logistic regression model to within 2% in the next quarter which ultimately came up to 1.75%.

Developed molecular dynamics simulations using machine learning algorithms to identify protein-DNA interactions with up to 89% fidelity.

Interpreted 850+ complex simulation datasets using various statistical methods and techniques to improve the overall data transparency by 40%.

Improved simulation of a chaotic Dynamical System using complex algorithms and data structures which ultimately improved accuracy of simulation by 43%

Created social media sentiment analyzer using Machine Learning that analyzes sentiments and accurately tracks 200 million posts per day.

Developed the team?s capabilities in data science and machine learning, and applied them to create new data-driven insights improving business decision making by 7%.

Implemented queries dynamically and built a recommender system model using machine learning improving recommendations to retailers by 88%.

Designed and implemented a graph database using Machine Learning, allowing for sophisticated real-time product recommendations with a significantly smaller code base

Created a synthetic dataset to assist in model development and evaluation using ML and AI during pre-launch of the start-up with data acquisition costs less than $100.

Spearheaded major pricing restructures by implementing a three-tiered pricing model that increased the average sales by 45% and the margin by 13%.

Automated inspection process of probe cards by designing a computer vision model using Python?s Keras library, reducing average inspection time by 65%.

Optimized SQL code for performance improvements by analyzing millions of records, thereby reducing computation time of core company KPIs by 55%.

Led a 4-member team of data analysts to produce Tableau dashboards and improve the institution?s research site, thereby increasing its web traffic by 37%.

Built ETL data pipelines using Python to consolidate demographic and academic data into Snowflake data warehouse, boosting performance by 25% overall.

Provided actionable insights to improve undergraduate course structures by employing NLP-based approach, thus improving average course ratings by 5%.

Assisted in credit card KPI metrics by automating 17 KPI metrics using SQL server and Star schema, thus reducing monthly reporting time by 9 days.

Developed interactive dashboards using MS Excel and improved performance metrics from 38% to 49% feedback rate and 77% to 89% resolution rate.

Performed cohort analysis using BI dashboards that would help determine the cohort rate and thereby succeeded in increasing the retention rate by 65%.

Extracted and cleaned 1M+ records related to medical patients' data using NumPy, Pandas and other packages in Python, boosting efficiency by 30%.

Consumed APIs while utilizing Python requests to read numerous JSON reports and file automatic bugs in the NVBugs for intermittent tests with 90% accuracy.

Worked on high-impact projects content aggregator and expense tracker using Python, delivering solutions with lower than 30% code churn.

Designed and configured database and backend applications and programs using Python, contributing to operations continuity and increasing efficiency by 24%.

Built interactive forms and designed effective email marketing campaigns that saved data into the database using Python saving 20+hours of manual work time monthly.

Developed, tested, and debugged software tools using Python utilized by 200+ clients and internal customers to facilitate and easier process and user experience by 75%.

Introduced pair programming, architectural patterns and code quality reviews using Python to reduce lead time for new feature requests down to 20%

Designed robust, scalable, secure, and globalized web-based applications using Python to ensure continuity of business processes and increase customer satisfaction by 15%.

Developed web application back end components using Python to identify the needs while communicating with 40+ clients and work on meeting them.

Worked on the improvement of data protection and security using Python, increasing security rate by 35 % while creating new user information solutions.

Maintained large databases and configured services to reduce software maintenance expenses using Python, reducing costs by 17% per annum.

Developed software using Java that deleted fee schedules used throughout the finance side which increased analyst productivity by 44%.

Troubleshooted 4,000+ code-related issues and defects. Produced detailed design documentation, unit test plans, and documented code for 40+ clients

Reviewed computer software program functionality and adjust capabilities to reflect project objectives, management input or other feedback, improving productivity by 55%.

Led the building process of new program development in Java by managing all tasks and supervising a team of 25 team members including of analysts and operators.

Lowered a software package?s error using Python with a new series of updates and programming revisions reducing overall bug rate by 97%.

Developed and implemented cross-platform, Java-based POS system. Completed project under budget and four weeks ahead of deadline.

Applied JAVA OOP concepts to introduce additional functionality for a bottom-up bill-of-materials tree traversal & reporting tool reducing run-time by 80%.

Architected & developed a process for transferring configuration data to a separate system database utilizing a centralized web service to transfer only changes speeding up the whole system by 94%.

Streamlined critical production tickets for same-day emergency releases using POP reducing major customer impact & improving productivity by 80%.

Collaborated with the backend team to construct & optimize various complex algorithms using ML/AI thereby improving performance by 60%.

Formulated an algorithm using vector math, displacement and threshold to detect the in-place leg movement detection which improved the accuracy to 97%.

Improved the complexity of the AI to find the shortest path using the A* algorithm, which resulted in an increase in clients' 40% retention rate.

Developed ERP data analytics dashboard using depth first search, breadth first search algorithms in Python boosting quarterly business activity by 30%.

Designed a university timetable generator algorithm using C that halved the time complexity and reduced the space requirement n/2 times.

Refined process run time by optimizing existing code algorithms, SQL queries and database partitions, thereby increasing efficiency by 25%.

Discovered customers with high churn propensity using XGBoost, Random Forest, and stacked ML algorithms that helped reduce churn rate by 21%.

Developed an inventory optimization algorithm for product slotting at warehouses using Python, improving manual labor operations by 13%.

Developed a Python-based algorithm for Multivariate Spectrum Analysis to reduce the dimensionality of large and small time series dataset by 45%.

Determined vulnerabilities in open-source using FAS algorithms by attacking with 3D occlusions, achieving a 30% increase in classification error rate.

Developed ML algorithms using GAN and Autoencoders for low and high resolution images, achieving proper view and 20x decrease in bit rate and max.

Prepared reports for the management using statistical methods for the manufacturing facility to achieve 25% year-on-year cost savings

Applied statistical methodologies for verification of mutated genes which correlate with good and poor overall survival outcomes.

Performed computations to validate new healthcare quality measures prior to launching the full-scale study with 97% accuracy.

Gathered, analyzed and manipulated raw data using Statistical Analysis System software thereby reducing redundant data by 13% .

Developed analysis and forecasting models for the treatment and outcome of respiratory diseases with 98% accuracy.

Performed data cleanup based on surveying service industries with SAS and Excel thereby successfully removing 9% erroneous data from a dataset.

Applied probability, estimation, hypothesis testing, experimental design and sampling to a variety of problems in survey methodology solving them within estimated time.

Implemented Statistical Analysis System programs to detect outliers, create edits, extract manageable datasets, and imputed missing data with 95% efficiency.

Gauged study workload and assisted with redistribution of tasks among personnel to increase efficiency of departments by 2x.

Designed and selected samples for company audits and presented results of the assigned projects to supervisors thereby reducing expenses by 3% annually.

Utilized SPSS and SAS to analyze survey data of Automobiles and to understand customer preferences from over 15,000 survey respondents.

Modeled distribution of data from historical and past experiments, simulated pressure sensitivity with 12 attributes by SPSS.

Worked with commercial customer data using hash objects and joining data set, creation and modification of views, accessing multiple databases enhancing customer experience by 7%..

Worked on loan decisions making model using SPSS and improved prediction performance by two times and was 3x faster in generating effective models.

Performed ad-hoc data visualizations using ggplot2 in R for measuring current model metrics with accuracy as high as 98%.

Created performance metrics to track 10,000+ users feedback using Kirkpatrick Method thereby successfully tracked 95% of the users within few minutes.

Explained and validated work results and insight applied to statistical tools used for client analysis and documentation of SAS files and library structures saving significant amount of time.

Maintained, collecting and analyzing databases, exporting data from other environments mainly Matlab to improve data entry by 10%.

Selected and extracted samples from a list of the raw datasets using SAS, eliminated duplicates, created a 1-subject-per-row dataset with PROC SQL.

Created complex and reusable Macros and extensively used existing macros and developed SAS Programs for Validation, Analysis and Report generation saving 5 hours of manual work weekly.

Conducted qualitative survey using various statistical methods to determine investment preferences of millenials and the sample results found out to be 98% accurate and similar to the real time computer generated data.

Conducted a drug testing for a pharma firm and conducted the test multiple times to verify the efficacy and reliability and the results after multiple run shown that data is more than 99% reliable and consistent.

Proposed a rigorous Bayesian framework using coherent statistical framework for dense deformable template estimation thereby estimating with maximum likelihood.

Presented a statistical framework and a set of indicators for measuring the WSIS targets which elaborates on each indicator and presents relevant statistical standards with 98% accuracy.

Presented a Unified Statistical Framework for Evaluating Predictive Methods and the null hypothesis is found to be true eventually with +1 positive correlation value.

Paved the way for Personalized Nutrition and Exercise Prescription using a Statistical Framework to Interpret Individual Response to Intervention with results showing more than 95% effectiveness.

Compared the performances of supervised learning methods based on several real datasets with unknown underlying distributions outlining a simple method to reach an adequate power.

Prepared for initial round of consultation with the UNWTO Committee on Tourism Statistics and TSA and the Working Group of Experts on Measuring Sustainable Tourism within a fixed geographical area.

Presented a biomedical statistical framework for measuring the body temperature which elaborates on each symptoms and presents relevant statistical standards with 89% accuracy.

Prepared a statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data making uncertainty value close to zero.

Managed 80+ SQL Server databases (SSRS/SSIS) instances over 45 product lifecycle environments with ensuring less than 1% non availability.

Applied data modeling techniques after analyzing the data objects and their inter-relationships to exceed development performance targets by an average of 12%.

Worked to install best practices and further grow expertise in SQL, Operational, and Relational Databases and developed 10 company-wide databases within 1.5 years.

Installed authentication protocols and security to ensure access to data is more secure, resulting in a 45% decrease in cybersecurity breaches annually.

Coordinated with senior database developers to create stored procedures, manage data feeds processed through the ETL pipeline, and maintain the SQL server platform with 97% efficiency.

Troubleshooted issues across the data stack and identify opportunities and solved challenges to enhance server performance and maintain more than 98% uptime.

Interfaced with experienced database developers to develop knowledge of cutting edge features for PostgreSQL database allowing to store large and sophisticated data safely.

Lead the migration from Oracle databases to SQL Server with minimal impact to 30K users, resulting in a 18% reduction in infrastructure costs and $300K in annual savings.

Lead onshore and offshore teams to develop and implement tactical solutions for the decommissioning of aging infrastructure, and build a collaborative and inclusive work culture for 150+ personnel.

Fixed hardware and software issues that arose in a timely manner to ensure high efficiency. Upgraded over 40+ servers in a 5-month period.

Created secure zones in the AWS public cloud using internet getaways, network ACLs, route tables, and security groups for 50+ branch offices.

Designed reference architecture and provided input to 12+ DevOps teams to implement codified stacks that exceeded the needs of 40 applications.

Developed automated cloud platform scripts to integrate 23+ web applications in the first month of employment.

Partnered with 22+ regional IT support teams to resolve technical difficulties and follow up on IT support requests; resolved 92% of cases within 20 hours.

Automated build deployment and configuration management with a goal to reduce 93% of customer onboarding time in the first month of implementation.

Spearheaded the migration of 240+ on-premise servers to AWS and supervised the server configuration and application deployment reducing 21% average infrastructure cost expenses.

Created an automated monitoring system using Amazon CloudWatch that boosted uptime from 57% to 91% in the first year of employment with ease of usability.

Guided senior management on best practices related to security, compliance, and performance optimization by identifying 13+ opportunities that saved the company $250K annually.

Assessed 9+ proposals daily & identified the best technical solutions for migrating the applications to AWS thereby reducing infrastructure cost annually by 15%.

Coordinated with 20+ enterprise IT departments to integrate Cloud network environment with corporate data center environment which improved operational efficiency by 20%.

Redesigned and developed the search module using Java with YUI that increased performance metrics by 30%, decreased lines of code by 70%.

Developed a VR platform using java to train police officers on various scenarios to enable data-driven decision-making and optimize response time by 230%.

Formulated an algorithm using java involving vector math, displacement and threshold to detect the in-place leg movement detection which improved the accuracy to 98%.

Integrated analytics, created a performance metrics dashboard and led a team to implement improvements using Java, thereby improving revenue by 42%.

Collaborated with a team of four to develop an Isometric 3D game Star Chess using java. The game received high appreciation and a 4.4 rating on the app store.

Improved the complexity of the AI to find the shortest path to the unfilled table using the A* algorithm and java, which resulted in an increase in clients retention rate by 18%.

Conceptualized and implemented user privilege features for a Bike Simulator 3D Gameplay using java, resulting in quarterly revenue growth of 21% for the company.

Prepared a tool using Java to help export language translations from CSV file to strings.xml which decreased manual effort from 2-3 hours to 15 minutes.

Conceptualized and developed an Android application tracking system for effective status tracking using java, resulting in reduced waiting time by 22%.

Created a serverless REST API using java for effective real-time communication among peers and within a specified geographical area, reducing monthly expenses by 32%.

Worked in close cooperation with project managers and other functional team members to form a team effort in development resulting in customer retention grew by 11%.

Identified and continuously acted to improve individual and team knowledge of new technologies, business processes and project management skills to maintain high productivity at workplace.

Worked on improvements of provided security services, including continuous enhancement of existing security methodology and ways of working thereby improving data security safety metric by 25%.

Worked as part of a global development team to ensure technical solutions meet the functional requirements. Ensured work under the stream is completed in defined quality standards.

Worked as part of the global DRTPEN development community to ensure the build and quality meets required standards and it improved customer satisfaction by 35%.

Demonstrated expertise in business application, information and technical architecture design. Demonstrated good judgment and improvement in reliability from 78% to 89% respectively.

Advanced understanding and experience of automated testing including mocking and behavioural testing, continuous integration/continuous delivery pipelines reducing manual working hrs by 3% monthly.

Collaborated and took a lead role in software design, with product owners and solutions architects to ensure that solutions help customers and achieve the Bank?s goals within the budget and time.

Develop, test, implement, document and maintain high quality business systems solutions, adhering to established methodology and in accordance with project plans ensuring problems doesn't reoccur with 98% efficiency.

Improved service reliability and delivery speed by supporting 8+ supervisors to formulate policies and procedures and improve dev speed by 15%.

Deployed technical services and handle incidents by using the Microsoft Azure platform to enhance customer experiences by 2x.

Designed an automated deployment pipeline using PowerShell that reduced deployment time from long 5 hours to 35 minutes.

Managed 15 Virtual Networks in Azure, established 14 core services in the VNET, and ensured Azure served in the MLP?s network with 99% efficiency.

Gained a practical understanding of networking, technology, and system administration, and transformed business requirements into executable plans within fixed deadlines.

Fulfilled customer SLA requirements by designing highly reliable disaster recovery solutions in close coordination with 10+ executives.

Established a secure and well-managed enterprise environment in Azure, which saved expenditure of $100K in less than 80 days.

Migrated traditional infrastructure to automated one in collaboration with 20 onsite developers within 22 days with improved features.

Implemented a monitoring system that tracked the health of 42 Azure resources, leading to a 51% decrease in downtime and improving productivity.

Conducted performance capacity for 36 new applications, which reduced the impact of workload on new applications by 40% thereby improving performance by 1.5x.

Delivered migration projects related to upgrade of Informatica Power Center from 6.1.1 to 8.1.1 and then to 8.6.1 along with Oracle upgrade from 9i to 10g.

Migrated Energy Credit Application from North America Informatica environment to WONA Informatica environment within fixed budget and deadline.

Designed of ETL process and development of Informatica code by working with teams to analyse requirements, develop technical design and deliver maintaining 100% to standards.

Developed Talend data integration jobs by exploring several ways to resolve the resource issues and by evaluating host CPU, real-time JVM memory thresholds during job execution.

Developed over 10 simple and complex ETL programs in Informatica PowerCenter and SAP BusinessObjects Data Services tools within 25 days.

Designed, Developed and maintained ETL, Teradata SAS, WhereScape RED jobs in support of Claims, Medical Management and Enrollment business units with improved services by 2x.

Developed complex informatica and SAS jobs in association with Teradata utilities to extract huge amounts of data from electric sources, transform and load into Teradata within few seconds.

Extensively worked on developing Unix Shell scripts for processing the data from heterogeneous sources,automation and facilitate SFTP process with 99% efficiency.

Created ETL framework for processing and monitoring import of flat files in SSIS for clients within deadline and improved data transfer speed by 30%.

Created Talend solutions to extract and transform client data used in the company product to analyze data, predict and prescribe actions increasing revenue by 55%.

Worked on importing data from MySQL DB to HDFS and vice-versa using Sqoop to configure Hive metastore with MySQL , which stores the metadata for Hive tables within few seconds.

Developed workflows in Oozie and scheduling jobs in Mainframes by preparing data refresh strategy document & Capacity planning documents required with 99% maintaining efficiency.

Operated NoSQL databases like HBase and imported data from MySQL and processed data using Hadoop Tools and exported to Cassandra NoSQL database with 0 downtime.

Installed and configured Hive, Pig, Sqoop, Oozie on the Hadoop cluster by setting up and benchmarked Hadoop clusters for internal use with 0 downtime.

Executed Pig scripts to perform ad hoc analysis on 58 Petabyte datasets stored in a Hadoop Distributed File System (HDFS) within a fixed deadline of 1 month.

Involved in gathering requirements from client and estimating time line for developing complex queries using Hive for logistics application within $100k budget.

Designed, implemented and deployed within a customer?s existing Hadoop & Cassandra cluster a series of custom parallel algorithms for 25 customer's defined metrics and unsupervised learning models.

Designed data pipelines for a consulting firm UK based using Apache Spark, Python, and Java to process 500TB of structured and unstructured data.

Created 37 complex software applications using Spark SQL, Scala, Hadoop, and Sqoop tools for 700 clients and adhered to software development release processes.

Connected 25 Business Intelligence tools, including Tableau and Power BI, to the tables in a data warehouse within 24 hours on the job.

Developed infrastructure for a EdTech firm based in UK to process 25 TB/day resulting into 9% increase in online sales of Ad-tech division.

Built Streaming services for a live soccer match in few applications using Java and Scala for real time processing of 200,000 users.

Designed data pipelines to move data across data warehouse, online cache, and real-time systems with a mean efficiency 27% above the norm.

Monitored data-warehouse servers for performance and reliability issues, saving up to $2.2M per year in preventable rollbacks.

Tested over 50 data pipelines using Python, identifying reclaimable efficiency losses of 8?13% within a fixed allotted time and budget.

Created a data pipeline that allowed multiple employees to store structured and unstructured data quicker, saving time and costs by 15%.

Designed and build scalable data pipelines to ingest, translate, and analyze large sets of data within a fixed time with more than 98% efficacy.

Developed and maintained Big Data pipeline that transfers using Apache Spark, Python, Apache Kafka, Hive and Impala which processes several 100 terabytes of data.

Played a key dev role in building Data Infrastructure components such as Tracking, Messaging Queues, and Real Time Streaming & Batch Data Pipelines within fixed deadlines.

Created and configured SQL Server Analysis Services database which introduced company to a 100% multidimensional tracking of subscribers special statistical techniques using SQL and Excel.

Developed and implemented custom data validation procedures for metadata summarization for data warehouse tables, for aggregating telephone subscribers switching data with 98% accuracy.

Led database administration and database performance tuning efforts to provide scalability and accessibility in a timely fashion, provide 24/7 availability, and solve end-user problems.

Developed a procedure for correcting the problem which resulted in the improved quality of critical tables by 50% through eliminating possibility of entering duplicate data in a Data Warehouse.

Spearheaded a project to implement company standards and establish procedures to ensure a unified data management approach improving data quality by 25%.

Analyzed and compared performance of Redshift, Hadoop, MySQL and SQL Server databases using TPC-H benchmarking and made recommendations improving performance by 30%.

Implemented partitions on a large dataset as well as index functions using SQL Server 2012 resulting in 90% improved performance.

Introduced company to geographic distance calculation using Analytic SQL, and chi-square for identifying affinity in subscribers, and survival quantifying subscribers with 97% accuracy.

Instrumented and conducted regular reviews of audit reports with encounter vendors to improve the quality and integrity of encounter data by 50%.

Developed Complex transformations, mapplets using Informatica to Extract, Transform and load data into Data Marts, Enterprise Data warehouse and Operational data store within few minutes.

Presented the Kylo roadmap, vision, proposed data lake architectures and business outcomes to all levels, developers, architects, CTO, CIO thereby improving data security by 2x.

Built a data lake at an university for academic and research success helping students reach their educational goals faster using AI and ML within 120 days.

Created data lake in AWS for a startup based in US to store any type of data, prevent unauthorized access and at reasonable cost within few days.

Created data lake in Azure using Python and connection string to store data and improve the data operations and performances by 2x.

Built a data lake on snowflake using terraform for a UK based firm to make data warehousing and cloud storage possible with features like relational querying, security, and governance with 99% efficiency.

Helped develop a multi-tenant architecture that fulfills privacy and security considerations of customers and regulatory constraints of the market with 99% efficacy.

Evangelized eBay data infrastructure technology within and outside the company, and contribute to eBay data management intellectual property portfolio with 0 downtime.

Lead modeling data capture, gathering, Mastersing and maintenance in support of modeling databases, in collaboration with platform resources with 98% efficiency.

Produce management-level dashboards, ad hoc reporting and analysis identify areas of data quality improvement and resolve data issues via appropriate use of 2 process improvement tools.

Liaised with broader portfolio team, business platforms and functions to establish data definitions, and determine relevant reliable sources of data with 90% accuracy.

Completed and was responsible for multiple data processing duties, ensuring that all policies and procedures were always fully followed with more than 95% efficiency.

Maintained and organized a large amount of data and worked on the development and implementation of a new and more efficient database system which led to a 12% reduction in operational expenses.

Reviewed documents and records to ensure accuracy of all data and recruited, trained, and coordinated new employees and interns thereby improving accuracy further by 25%.

Collaborated and worked closely with colleagues from other departments, assisted in the creation of new business processes, and executed other clerical tasks with 99% efficiency.

Handled the tasks of effectively gathering and organizing information before entering it into the multiple databases utilized by the company reducing data redundancy by 15%.

Completed researching, compiling, analyzing and reporting various operational data from multiple sources to improve data quality by 50%.

Worked various products such as loans and lines including business accounts worked foreclosures, Pre-foreclosure and bankruptcy accounts with improved productivity by 10%.

Scanned documents, performed data entry, prepared documents for processing into archives, Validated and verified documents and Data Entry for 65 WPM.

Entered customer and account data by inputting alphabetic and numeric information on keyboard or optical scanner according to screen format with reducing error rates by 5%.

Processed customer and account source documents by reviewing data for deficiencies, resolving discrepancies by using standard procedures or returning incomplete documents by 12%.

Developed highly efficient algorithms in C through both pair-programming and independent work. The algorithms improved inventory management benchmarks by 18 percent.

Fine-tuned order fulfillment apps in C that boosted repeat orders and customer retention which eventually improved customer loyalty by 8 percent.

Analyzed code to identify and improve performance bottlenecks and contingencies with shared resources in C. Streamlining the code was instrumental in reducing support costs by 17%.

Specified, prototyped, developed and tested an object-oriented, multiplatform C framework containing support to common algorithms sockets, threading to reduce annual expenses by 11%.

Developed new locate modules to match short sell trades and enable short selling more rapidly using C on Solaris thereby improving user and customer experience by 35%.

Implemented a reuse distance algorithm in C to measure locality and miss rates of multithreaded application on Intel x86, based on memory trace produced from Pin tool with 98% accuracy.

Developed and maintained C code for 24 large-scale, high-frequency trading platforms used by 42 financial institutions to trade equities, futures, and FX, successfully recorded zero downtime in 4 years.

Deployed C codes for data analysis tasks including building statistical models of market behavior based on historical data from Resume Worded systems, improved sales by $34M in the first 9 months.

Cut memory usage by 55% through improved coding practices and algorithm optimization using C, increasing the ability to run 35 intensive applications simultaneously with less than 1% lag.

Worked with 20 back-office operations teams in C to ensure the smooth deployment of 22 software releases across multiple environments QA, UAT, increasing productivity by 90% in Q1, Q2, and Q3 of 2020.

Created working database back-ends for 6 web apps using sql. Designed a restaurant inventory application that saved the company $900/month in labor costs.

Led development of 8 database projects for high value customers using sql and oracle. Completed projects on time and 23% under budget.

Created a restaurant management database using sql to handle all food and beverage inventory for a chef-owned restaurant. Saved an estimated $600 per month.

Designed 4 onsite databases and maintained a group of 15 databases using sql. Through automation, improved efficiency 16%, freeing up 40 labor hours per month.

Developed custom reports for the company using SSIS and SQL Server Reporting Service ultimately reducing complex recurring business issues by 13%.

Developed custom SQL scripts for a large size MNC in Europe to improve the database efficiency, reduce data load time and enhance performance by 2x.

Designed databases, stored procedures, reports, and data input interfaces using SQL Server 2005, 2008 to improve data management thereby reducing operating loss by 6%.

Turned the database reporting needs into powerful SQL queries that will extract data and compile it into meaningful reports, improving 93% of productivity.

Take the database reporting needs and turn them into powerful SQL queries that will extract data and compile it into meaningful reports, improving 90% of productivity.

Compiled lists of stores respecting criteria given by client services using T-SQL, Queries and Views, while minimizing collection costs to only 2% instead of 8%.

Enabled critical test case complexity metrics using a scriptless test case adaptor & supported a test automation framework leading to a 55% increase in reusability.

Optimized scripting, modularity, & maintenance which resulted in an 18% decrease in workflow friction leading to better productivity and user experience.

Increased the company?s ability to take and complete projects without increasing manpower by 17% by reducing QA testing turnaround time by 28%.

Restructured utilities & improved the process documentation leading to a 39% reduction in client support tickets & an 90% increase in uptime.

Achieved department-wide improvement metrics based on QA scorecard through the 36% & 32% workload reduction of the customer support & IT departments respectively.

Standardized Test Plan, Test Scripts/Test Cases, Daily Status Reports, etc., documents leading to a 10% increase in productivity and reducing rejections.

Established monthly sprint backlog items as well as performed agile meetings while updating the activities in Microsoft TFS in an optimized manner which resulted in saving 11 hours of monthly lost time.

Wrote & optimized test scripts using towelsTest Package which led to a 8% reduction in the overall testing hours and increased work productivity.

Created traceability matrix to fill in the gap between requirements and tests covered contributing to the 12% increase in test case count.

Established proper team communication that identified, triaged, reproduced, & fixed found issues using JIRA increasing the overall workflow by 14%.

Designed and coded application components in an Agile environment utilizing a test driven development approach within 1/2 of the allotted time.

Implemented and administered VMware ESX 3.5, 4.x for running the Red Hat Linux servers on development and test servers with less than 2% downtime.

Configured volume groups and logical volumes, extended logical volumes for file system growth needs using Logical Volume Manager commands creating multiple single storage structures.

Experienced in Setting up and configuring Install Server, Configuration Server and Boot Server for Kickstart process & performed Kickstart to install OS on Several workstations.

Configured distributed file systems and administering NFS server and NFS clients and editing auto-mounting mapping as per system or an user requirement.

Configured various services, devices as well as applications of UNIX servers and worked with the application team to customize the environment within the fixed deadline.

Proficient experience in using and configuring Red Hat Satellite servers, Yum repositories and Troubleshooting activities reducing operating losses by 11%.

Creating and managing Virtual Machines and Templates, worked with clones and snapshots of Virtual Machines to reduce physical space and management cost by 25% annually.

Building software packages on Red Hat Linux and Solaris. Wrote tools in Perl to login & interrogate Sun ILOM & XSCF & HP ILO via SSH and telnet within few seconds.

Managed and installed software packages using YUM and RPM and created repository files for offline servers to reduce operating expenses by 15% annually.

Performed routine account maintenance upon customer request, including DNS updates, httpd changes, and mailman list setup and maintenance on Linux systems with more than 95% efficiency.

Managed 80+ SQL Server databases (SSRS/SSIS) instances over 45 product lifecycle environments with ensuring less than 1% non-availability.

Supported customers in optimization and improvement of existing features of all API applications thereby reducing API obsolescence chances by 15%.

Headed the development and maintenance of new APIs for integrating them with client's websites to ensure seamless operation improving user satisfaction by 25%.

Developed scalable modular application packages for improving the functionality of clients software API testing and community maintenance total for 60+ applications.

Modified APIs code for improving and optimizing the performance as part of improving user experience and tested 20+ new APIs on a daily basis.

Managed the IPEN software community and reviewed codes for developing innovative applications software demonstration and member education reviewed 50+ total codes.

Created sample APIs for demonstrating functionalities to the clients and coordinated with the business development team of 20 to create such APIs.

Collaborated with the stakeholders to develop technology roadmaps and establish realistic timelines for improving API performance by 30% in overall.

Identified customer requirements and modified the API application adhered to that client servicing and technical writing and also aided the product team of 15.

Coordinated with the technical support team to resolve clients issues on API application for ensuring and improving optimum client satisfaction by 50%.

Assisted the product engineering team to develop phone API for connecting social media platforms with cloud services implementing it for 10 applications.