I turn messy data
into models that decide.

Curious by default, analytical by training.

I'm a data science student who likes taking a question nobody's answered cleanly and chasing it through the data until the answer holds up. That usually means Python for wrangling, SQL for getting to the source of truth, and a model at the end that has to earn its place — no metric worship without a business reason behind it.

Outside of coursework, I compete on Kaggle, contribute to a couple of open-source notebooks, and I'm currently deepening my grip on deep learning and MLOps basics so the models I build can actually ship, not just live in a notebook.