BloodBridge: An advanced Blood Management System leveraging DSA, DBMS, Java, and AI/ML. Aimed to minimize blood wastage and eliminate unethical practices.Integrated AI/ML algorithms for real-time demand forecasting, enhancing the availability of critical blood types easier.
AthleteEdge: A digital solution for college-level students, coaches, and sports enthusiasts to manage and enhance their sports journeys. Utilized JavaFX, MySQL, and the MVC architectural and increased user engagement by 20% through streamlined performance and tracking features.
Stock Pair Trading: Dynamic Hedging Using Volatility Forecasts: A quantitative hedging model using GARCH-based volatility forecasts, optimizing pair trading strategies across 300+ stocks. Achieved consistent performance with a 15% risk-adjusted return, backed by extensive backtesting and stress testing across different market conditions.
Commodities Hedging Model: A comprehensive risk management strategy for commodities. Conducted in-depth supply-demand analysis, volatility forecasting, and backtesting . Focused on mitigating price risk through futures, options, and swaps with a target of reducing exposure to price volatility by 20%