Machine Learning Project
Jan 2025
Engineered business-metric features, performed feature selection, and implemented a Random Forest Classifier with scikit-learn.
Achieved 82% accuracy (Global) and 80% accuracy (Domestic), improving classification reliability and interpretability.
Mobile Application
Jun 2024 - Aug 2024
Built a cross-platform social app (PERN + React Native) that enabled real-time student support and guidance.
WebSockets chat delivered instant conversations, improving engagement.
PostgreSQL + Supabase schema design improved data reliability and scalability.
Telegram Bot
Aug 2024 - Oct 2024
Developed a Telegram reminders assistant with Flask + MongoDB for dependable storage.
CI/CD on Render automated deploys and improved uptime & iteration speed.