Generated weekly reports & charts on stock performance for 45+ clients, providing up-to-date investment advice.Extract, clean and load (ETL)weekly stock market data and proprietary indicators for 10,000+ stocks from Factset API using Python 3.5, Visual studios 2017, SQL and excel.Maintained accuracy & integrity of the stock database by adding/delisting stocks and moving them among sectors with 100% accuracy in SQL Server 2012.Developed custom Navigators and charts with specific groups and stocks tailored to clients’ needs resulting in higher client satisfaction.Compiled historical stock charts & sector charts and summaries to enable easy trend analysis and identify correlations between distinct sectors.Troubleshoot performance issues in the database, perform sql backup and restore using sql queries. Perform root cause analysis for run time production issues and solve them.

I worked as a TA for Database Management Systems (Spring’16&Fall’17), C++ (Spring’18), Discreet structure(Summer’18), Machine Learning(Fall’18).Assisted students with queries regarding course work and assignments over email and through office hours.Led lab session with 30+ students,taught C++ concepts required for labwork and provided suggestions to improve their code.Conducted exams, corrected assignments and projects. Entered and maintained marks on the online portal and helped with grade finalization.