Validation Codebase Optimization: Optimized an existing report validation, staleness, and correctness codebase, which originally took around 2.5 hours to execute. Conducted extensive profiling to identify time and memory-intensive functions, focusing on database dependencies that were consuming 70 percent of the execution time. Refactored the code by parallelizing processes, reducing the overall execution time from 2.5 hours to approximately 45 minutes. T4 Expiry Automation: Developed a Python script to automate the extrapolation of expiry details for products based on T4 bulletin data, which previously required manual calculation and input. Utilized two years of historical expiry data, OOP concepts, classes, and logging to optimize the code. Integrated the script with SQLAlchemy for database access and deployed it in CI/CD pipelines, resulting in a 40-minute daily time saving and a 100 perecent reduction in human dependency. ZEMApy Python Package Development: Successfully developed features in the ZEMApy Python package for data extraction from ZEMA Templates using Python and SOAP API integration, improving data retrieval speed and accuracy. PnL Variance Report Optimization: Optimized the PnL Variance Report by conducting Root Cause Analysis, resulting in an 80 percent reduction in calculation time, and implemented a restructured methodology. Automated consensus validation using various statistical methods and analyzed PnL impact due to deviations on exposed tenors.

Developed a dynamic gaming interface using Angular.js, enhancing user engagement through responsive design and smooth gameplay. Designed and implemented six interactive educational games for kids, utilizing Angular.js to create engaging and user-friendly experiences. Integrated dynamic themes into each game using Material UI, allowing for customizable and visually appealing game environments.