I developed FynanceX, an AI-powered finance monitoring platform that analyzes income, expenses, and spending patterns. I implemented REST APIs for transaction processing and integrated a chatbot for finance-related queries and personalized insights.
For my food delivery time prediction project, I engineered a machine learning pipeline and evaluated Linear Regression, Random Forest, and XGBoost models. The best result achieved an R² score of 82.94% and an RMSE of 3.91 minutes, with predictions available through a Streamlit application.
As Vice Admiral of the Competitive Programming and Mentorship Club, I lead a team of 35+ members and run a CodeRoom teaching DSA to 50+ students. I also contribute to the ITESA website as Technical Lead.
