Jiaqi Fang
Data Science Manager, Ad Science
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolJiaqi Fang is a Data Science Manager with eight years of experience translating large-scale data into actionable business solutions, now leading Ad Science at Rakuten Rewards from San Francisco. She blends technical expertise in machine learning (including SHAP-based model interpretation, XGBoost, GLM, and NLP) with strong product and cross-functional leadership, having deployed models that improved agency profitability and recruiter efficiency at Allstate. Her background in healthcare analytics and actuarial modeling taught her to prioritize MVPs and automate pipelines, cutting processing times from hours to minutes and driving measurable operational improvements. Known for coaching teams and making complex analytics accessible to non-technical stakeholders, she also built and scaled internal programs such as an internship conversion pipeline. Educated in economics and statistics at UC Berkeley with additional data science nanodegree training, she combines rigorous quantitative foundations with practical production delivery.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at University of California, BerkeleyHigh school, High school at The Affiliated High School of South China Normal UniversityNanodegree Data Science, Nanodegree Data Science at UdacityUndergraduate Economics and Mathematics course-work, Undergraduate Economics and Mathematics course-work at National University of Singapore
Chinese, EnglishProgramming languages (1)
Github contributions (5)
KarenJF/DataScience
May 2018 - Sep 2018
Contributions:127 pushes, 1 branch in 3 months
KarenJF/Leetcode
Apr 2018 - Jun 2020
Contributions:36 pushes, 1 branch in 2 years 1 month
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