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Work Experience Recommendations

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 data’s 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’s 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 institution’s 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’s data using SQL to design A/B experiment and Tableau pre-/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’s 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 5000+ 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’s 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’s 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's 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’s 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.

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

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

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

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

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

My team contributed over 11,000 lines of code 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.

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 KPI’s 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’s 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 client’s 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%.

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

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 client’s 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 Heroku’s 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 organization’s 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 company’s 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.

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Expert Recommended

Skilled Principal Software Engineer adept at executing development strategies via unique management and design style. Known for tackling unforeseen hiccups in software creation with agility and tireless commitment. Creative innovator of novel approaches to time-worn problems, proficient at employing colleagues and resources to combat everything from minor bugs to catastrophic software failures.

Expert Recommended

Forward-thinking Software Engineer with background working productively in dynamic environments. Fluent in [Type] and [Type] programming languages used to develop software within [Industry]. Proud team player focused on achieving project objectives with speed and accuracy.

Expert Recommended

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