•Created 9 new cross-placement measurement metrics and visualizations to better understand user sentiment and the quality of ads on 25+ Facebook placement areas -- built data pipelines with SQL and Python and presented insights to team
•Collaborated with software engineers, data scientists, data engineers, UX researchers, and PMs from teams throughout Facebook, Instagram, and Messenger to communicate my findings and drive growth throughout the company
•Improved code quality and organization on ads infrastructure in C++ and Thrift, cleaning up 1700+ lines of legacy code and creating 5 new logging metrics to organize data, and built new, optimized ML model training flow using Facebook's ML tools