Summary
Xiaohan Li is a data R&D professional with 12 years of experience applying statistical and engineering skills across media, gaming, and public policy domains, currently building data solutions at Tencent. Trained in sociology and applied quantitative research (NYU), she blends rigorous experimental and survey methods with production-grade tooling—Python, R, SQL, Spark/Databricks and a broad AWS stack—to turn messy behavioral data into actionable insights. Her background spans Nielsen analytics, game performance measurement at Tilting Point, and policy research, giving her a rare cross-industry fluency in measurement, causal inference, and product metrics. Colleagues describe her as a pragmatic coder and “code zookeeper” who balances practical delivery with curiosity—an amateur foodie who also enjoys optimizing workflows and models.
12 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Sociology, Bachelor’s Degree, Sociology at China Youth University For Political Sciences
Master’s Degree, Applied Quantitative Research, Master’s Degree, Applied Quantitative Research at New York University
Chinese, English