Xinyue Zhou
Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolXinyue Zhou is a data scientist with 10 years of experience building production ML systems across fintech and consumer platforms in the San Francisco Bay Area. She has led end-to-end projects at Credit Karma optimizing email personalization and offer prediction, and at Cash App improving search relevancy and scam/ATO detection using signals from unstructured data. Comfortable with large-scale engineering (Spark, BigQuery, Airflow) and modern ML stacks (TensorFlow, XGBoost, DNNs), she bridges feature engineering, experimentation, and deployment to drive measurable product impact. Her work shows a pattern of turning sparse labeled data into robust intent and recommendation models and designing data collection and annotation processes to scale solutions. A dual master’s holder in Statistics (UC Berkeley) and Computer Science (Georgia Tech), she combines rigorous statistical thinking with practical engineering chops. Though primarily product-focused, she often picks apart noisy third-party sources and craft features that reveal hidden user intents.
10 years of coding experience
9 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at University of California, BerkeleyBachelor of Science (BS) Financial Engineering, Bachelor of Science (BS) Financial Engineering at Wuhan UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Science (BS) Statistics Economics Math(minor), Bachelor of Science (BS) Statistics Economics Math(minor) at University of Illinois Urbana-Champaign
Chinese, EnglishGithub contributions (5)
z357412526/drawdown_project
Jan 2016 - May 2016
Contributions:21 pushes, 4 branches in 3 months
z357412526/mousestyles
Apr 2016 - May 2016
Contributions:28 pushes, 6 branches in 1 month
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