Rudra Bansal

I’m a B.Tech student in Computer Science and Engineering at Jaypee Institute of Information Technology, and I’m currently working as a Machine Learning Intern at FlyRank AI (Remote). I build an end-to-end ML pipeline on real, anonymized Google Search ranking data—covering problem framing, data contracts, EDA, and baseline modeling—using Python, pandas, scikit-learn, and DuckDB. I also query a 79M-row production-scale warehouse with DuckDB and run feature-leakage checks to support valid model training.

Through my projects, I focus on practical end-to-end systems: I built a Bank Fraud Detection System with a complete ML workflow (preprocessing, feature engineering, EDA, and a Random Forest classifier) and automated inference via Joblib. I also developed a full-stack Notes Management System using FastAPI, PostgreSQL, SQLAlchemy, and Streamlit, with RESTful CRUD APIs for create, read, update, and delete. I enjoy turning messy data into maintainable pipelines and shippable products.