Altametrics
Machine Learning Intern · Costa Mesa, CA
- Built production ML forecasting for daily sales across four national restaurant chains — McDonald's, Taco Bell, Jack in the Box, Chipotle — covering thousands of locations.
- Cut forecast error from 12% to 5%, which translates directly into tighter labor scheduling and lower food cost.
- Engineered 30+ predictive features from weather, zip-code demographics, holidays, seasonality, school calendars, and national events, plus macroeconomic indicators.
- Owned the model lifecycle end to end: preprocessing, feature engineering, cross-validated tuning, and back-testing over 2+ years of history.
- Worked through two consecutive summers alongside a full Berkeley course load — CS 61C in 2025, CS 184 and CS 161 in 2026.