• 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