Siyuan Feng (Nina)

Siyuan (Nina) Feng is a data scientist specializing in machine learning at Ibotta, Inc. since February 2021, focusing on optimizing marketing spend and managing bonus programs through the development of counterfactual causal inference models. Prior experience includes roles as a Decision Scientist and Associate Decision Scientist at Ibotta, contributing to growth marketing, user segmentation, and budget optimization, as well as impactful projects like media mix modeling. Previous positions at Vee, L'Oréal, Deloitte, and Xinhua News Agency involved data analytics and marketing analysis. Educational credentials include a Master of Science in Marketing Analytics from the University of Rochester and a Bachelor of Arts in Advertising from Fudan University, complemented by an exchange program at the University of Cologne. Technical skills encompass tools such as SQL, Python, R, and various data visualization platforms.