Summary
Emily Gong is an analyst and UCLA-trained mathematician-of-computation with nine years of practical experience applying data science to social impact and industry problems. She blends academic research—modeling opinion dynamics and processing multi-GB Twitter time series—with hands-on enterprise analytics, having built dashboards, observability strategies, and streamlined Tableau workflows for clients like Schneider Electric and World Wide Technology. Comfortable across Python, Pandas, AWS, MongoDB, XGBoost and visualization stacks, she has driven measurable outcomes such as a 51% audience growth from analytics-informed campaigns and a 20% client growth through outreach. Based in New York and pursuing further CS study, she pairs rigorous quantitative methods with product-minded communication, often translating complex models into concise visual narratives for diverse stakeholders. An understated strength is her ability to bridge academic simulation work with production-ready monitoring and dashboard design, making research insights operational.
9 years of coding experience
4 years of employment as a software developer
High School Diploma, High School/Secondary Diplomas and Certificates, High School Diploma, High School/Secondary Diplomas and Certificates at Oakland Catholic High School
Bachelor of Science - BS, Mathematics of Computation and Linguistics (Deparmental Highest Honor), Bachelor of Science - BS, Mathematics of Computation and Linguistics (Deparmental Highest Honor) at University of California, Los Angeles
English, Chinese, French, Japanese