I turn messy, raw data into decisions — building predictive models, data pipelines, and the ML and LLM systems that put them to work.
I care about the unglamorous middle of data science — the cleaning, the pipelines, the sanity checks — because that's where messy, real-world data becomes something a team can actually decide with. Across an airline, a university, and early-stage startups, I've built forecasting models, ML pipelines, and RAG systems, always with an eye on whether the output holds up in production.
I'm completing my M.S. in Data Science at UT Arlington (May 2026), following a B.S. in Computer Science at Ahmedabad University. Most recently I was a Graduate Data Science Intern at Delta Air Lines in Atlanta, building NLP pipelines for aircraft operations. I'm now looking for full-time roles where I can own problems end to end.
Open to new roles and interesting problems. Reach out anytime.