At IPCA Laboratories Ltd, I completed a one-month GenAI internship focused on LangChain, Retrieval-Augmented Generation (RAG), and LLM-based application development. I built four proof-of-concept GenAI applications using LangChain and RAG.
For CrimeScope Mumbai: Decoding Crime Patterns, I analyzed 12 months of official Mumbai Police crime statistics using Python, Pandas, NumPy, and SQL. I investigated crime categories through exploratory data analysis and statistical techniques, then created interactive dashboards and visual reports.
In EEG vs Market Crash Analysis, I explored early warning signals in epileptic EEG recordings and financial markets. I used rolling-window analysis on CHB-MIT EEG and S&P 500 datasets to study variance, autocorrelation, and skewness patterns.
For IPL-CRUNCH-26, I analyzed five seasons of ball-by-ball data, looking at toss impact, phase-wise scoring, and player performance. I found that stronger powerplay performance had a greater impact on winning matches than death-over scoring.
