At Meta’s Product Data Operations, I validated data for consumer AI products, including Ray-Ban smart glasses and Instagram chatbots. My work improved model accuracy by 15%.
I checked more than 10,000 data points per quarter against ground-truth data and product guidelines. I also ran calibration sessions with coordinators and engineers to resolve ambiguous cases.
When I found data-quality or accuracy issues, I escalated them to engineering teams in real time, flagging 5 to 10 issues per week to support rapid model corrections.
At COOP Careers, I used SQL to analyze engagement trends across a 15,000-observation dataset and built Tableau dashboards with audience-targeting recommendations. My projects have also included customer segmentation and campaign analysis, student loan debt modeling, and classroom outbreak simulations.
