Built a rule-based fraud detection system using SQL on 6.3M+ PaySim transactions. Flagged ₹12B+ fraud, extracted key business insights, and designed enterprise-level SQL risk logic for fintech fraud mitigation.

A consolidated, multi-domain data science repository showcasing advanced data wrangling, statistical modeling, text mining, and machine learning. This Master's-level portfolio spans seven distinct projects—tackling challenges in FinTech, biostatistics, aviation, and developer ecosystems—using Python, Pandas, NumPy, & Scikit-Learn.

In this project, we're building a real-time chatbot which uses some rule-based logic to communicate with the users in real-time.