1. Implemented Product MDM for a French pharmaceutical company that enabled them for keeping track of all the products along with different market hierarchies which resulted in better deliverables for downstream.2. Mentored team under the project and was responsible for deliverables from off-shore3. Worked directly with clients for requirements gathering and completed FRS and URS in live working sessions4. Prepared test-suite and imported them on JIRA for testing the UI of Product MDM5. Implemented file/folder level QC module for doing quality checks of files on various parameters defined by business that helped in improving the quality of our deliverables to other teams 6. Developed a Notification Module for the client that will inform them about changes in data sources whenever it is being processed by our system through the pipeline via AWS SQS.

1. Working with world's leading investment banking firm in developing and maintaining their card forecasting model which can forecast data up to 87 months with high precision.2. Developed patented tool for automating the process of triggering runs on UI using python that can handle multiple runs in parallel with minimal manual intervention and saved upto 50% of efforts.3. Prepared script for comparing the data and schema of multiple runs to encounter any change in modeling framework at the earliest.

1. Worked on Parallelizing execution of 2 Spark scenarios using spark and Scala for HDInsight which resulted in increased code coverage.2. Improved accuracy and quality of data coming from different workflows by implementing ETL and comparing the data using Scala and Spark.3. Improved turn-around time by >60% by automating import and export of telemetry data into database (SQL server) after cleaning and transforming it using custom Python scripts and Talend pipelines.4. Scraped data for incidents reported by customers regarding issues with the product. Leveraged NLP to identify the module with the most frequent occurrences of issues and found out the regions with more issues using K-Means clustering. The analysis calculated the average time developer spent to resolve such issues which later helped in deciding the team strength for various modules, resulting in quick and efficient resolution of customer issues and fixing bugs.5. Collected, cleaned, provided modeling, and analyzed semi-structured data used for major business initiatives using Python (NumPy, Pandas, Matplotlib and Scikit-Learn) along with interactive visualization reports in Tableau.

•Part of the team who works closely with Microsoft SE's to enhance and maintain Dynamics 365 which is Microsoft's CRM platform by fixing bugs and assisting clients on any issues related to product functionality and customization.•Worked on C#, Typescript, Kendo and JQuery for enhancement of the tool’s UI and data connectivity for Microsoft Bing Ads UCM.•Worked in Typescript, Javascript, C# and HTML for maintenance and enhancement of Microsoft Dynamics 365(CRM)•Contributed to Microsoft Dynamics 365 Unified Client by fixing bugs and doing enhancement on platform using C# and ReactJS.•Made website to automate task of data visualization and calculation using MVC5, SQL Server 2014, ADO.Net, HTML5 and CSS.