At FlyRank, I completed a research-focused machine learning internship covering research framing, data contracts, leakage testing, baseline scoring, model training, and validation audits, culminating in a capstone research report. I also built a Random Forest classifier to flag declining search pages for content refresh, benchmarked against a rule-based baseline.
My projects include a FinBERT-powered stock prediction and recommendation system with a Streamlit dashboard, and a credit risk system that generates loan approval decisions. I’ve also completed applied machine learning and deep learning projects at CodeAlpha and worked on e-commerce, virtual showroom, and ML-based chatbot solutions during my internship at Ellipse Studio.

