• Implemented a bulk template feature that enables the Data Services team to input large volumes of data efficiently • Enhanced data processing by automating the flagging of data with the appropriate business area, improving accuracy and operational efficiency by making changes in the Fusion Java codebase and SQL Database tables• Remediated SSH Key vulnerability for 20+ Applications • Conducted comprehensive smoke testing on the production environment to ensure system stability and functionality post-deployment

Mentoring students throughout their journey of Learning Data Structures and Algorithms and aiding their preparation for Tech Interviews.

• Enhanced the Business Management System(BMS) to support functionality on Chrome, saving 165 hours of human effort per month• Worked closely with AMRs to identify pressing issues and resolved them promptly before the Internet Explorer 11 out-of-support date• Overhauled the Java Struts framework application and made suitable JavaScript, Jquery, CSS, HTML code changes• Developed crucial understanding of React and Spring MVC concepts to make the application more reusable, robust and distributed

• Scrapped PDF files from MCA website, Govt. of India using Python libraries, extracted tabular data from the PDF's into a csv format• Extracted objective information from Loan repayment data which was used for mathematical analysis in a research paper

• Backtested and implemented several trading strategies which work on market gaps (gap up/gap down) based on the research paper "Price Gaps: Another Market Anomaly?" -by Brunell University, London using Python on NIFTY, NYSE and BITCOIN time series datasets• Achieved a profitable BTST trading strategy on NIFTY while backtesting on NIFTY dataset from period January 2018-March 2021• Achieved results: Returns: 33% CAGR, Success rate: 71%, Sharpe ratio: 5.9, Sornito ratio: 9.6, Maximum drawdown: 25%, Beta: 1• Successfully deployed the code base on AWS, automated the trading strategy using Python, scheduled the order execution using Cronjob (Linux) and implemented the strategy on live markets (NIFTY FUTURES) integrating with Angel Broking Smart Api