Featured Projects
Brain Tumor MRI Classification
This project uses deep learning and transfer learning techniques to classify brain MRI images into multiple tumor categories, comparing ANN and CNN-based architectures to evaluate image classification performance.
Airline Delay Analysis
This project analyzes airline operational performance data to identify patterns, trends, and statistical relationships related to flight delays and cancellations.
Energy Intelligence RAG Model
This project uses Retrieval-Augmented Generation (RAG) and large language models to analyze energy intelligence reports, comparing baseline and tuned retrieval pipelines to evaluate grounded response generation and analytical performance.
Credit Card Fraud Detection
This project developed several machine learning models for credit card fraud detection using Python, class imbalance handling, supervised classification, and precision-recall based model evaluation techniques.