Hello!

I’m a data scientist with a background in econometrics and mathematics, holding a Ph.D. within time-series, and experience across tech, finance, and consulting. I work mainly with Python, R, and SQL, building models and analytical systems that are meant to be understood, trusted, and used — not just optimized. Over the years, I’ve worked on experimentation, customer behavior, forecasting, and risk problems, using time-series, causal inference, and statistical learning methods, and I care deeply about clarity, good judgment, and honest reasoning. Alongside my technical work, I enjoy teaching, mentoring, and building communities, and have served at Women Who Code (Director) and at R-Ladies (Co-Organizer).