Developed a Django-based web application, 'TradeIcon,' for real-time stock price analysis and stock recommendation using live market data. Achieved a 67% accuracy rate in stock trend predictions by integrating real-time data APIs and machine learning models for price analysis. Enhanced user decision-making by 30% through personalized stock suggestions based on historical trends and volatility analysis.

Built a MERN stack-based application, 'TransExpense,' to streamline transportation expense tracking and optimization for logistics businesses. Reduced operational costs by 20% through features like fuel cost tracking, driver salary management, and route optimization using Google Maps API. Improved expense reporting efficiency by 35% with automated data aggregation and visualization dashboards.

Presented a research poster at the Baby Conference held at Pimpri Chinchwad College of Engineering, analyzing the impact of delivery time on customer satisfaction using a real-world dataset. Conducted statistical analysis on a dataset of 1,050 entries, achieving a correlation coefficient of -0.025, indicating a negligible relationship between delivery time and satisfaction.