Summary
Andi Liao is a data scientist with eight years of experience blending statistical rigor and software skills to drive data-informed decisions at ByteDance. Trained in psychology at Tsinghua and computational social science at the University of Chicago, Andi combines human-centered experimental insight with strong data engineering and modeling practices. Past roles span analytics internships at Nielsen, OgilvyOne, and Cainiao where he built dashboards, profit-and-loss models, and automated analytical templates for high-stakes campaigns and logistics operations. He excels at translating messy product and operational data into actionable models and visualizations, and has hands-on experience with fNIRS studies and MATLAB from academic research—an unusual cross-disciplinary asset for a data practitioner. Based in Beijing, Andi is focused on scalable data modeling and engineering, with a knack for uncovering behavioral signals hidden in complex datasets.
8 years of coding experience
1 year of employment as a software developer
Minor, Finance, General, Minor, Finance, General at Tsinghua University
Master of Arts (M.A.) in Computational Social Science, Computational Social Science, Master of Arts (M.A.) in Computational Social Science, Computational Social Science at The University of Chicago
Xiamen Double Ten High School
taiwaness, English, Chinese