Liyou Zhang
Director, Data Engineer And Data Science
San Francisco, California, United States
Summary
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Top SchoolLiyou Zhang is a data and analytics leader based in San Francisco with 9+ years of experience building and scaling data science, experimentation, and metrics platforms across consumer products. As a former hands-on senior contributor and current director-level leader, she has led ML modeling, causal inference, A/B experimentation, and analytics engineering at companies including Reddit, Uber, Grammarly, and Mudflap. She combines strong business acumen with product-first thinking to drive growth, personalization, and international expansion—owning top-of-funnel, onboarding, channels, and trust-and-safety teams. Liyou also coaches multicultural teams on collaboration and culture, helping organizations navigate cross-border product launches and scale. Comfortable in Python and SQL, she pairs technical ownership of ETL and metric ecosystems with strategic P&L-informed decision making from earlier finance roles. Her trajectory reflects a rare blend of fintech-grade rigor, experimental science, and hands-on data engineering at scale.
7 years of coding experience
7 years of employment as a software developer
Exchange Student Finance and Strategy, Exchange Student Finance and Strategy at Sciences PoMaster's Degree Finance General, Master's Degree Finance General at Renmin University of ChinaThe University of Hong Kong (HKU)
English, Chinese, French
Github Skills (14)
nmf4
lda3
language-processing3
topic-modeling3
natural-language-processing2
causal2
machine-learning2
latent-dirichlet-allocation2
bayesian2
nlp2
python1
time-series1
inference1
causal-inference1
Programming languages (2)
Github contributions (5)
liyouzhang/Churn_Prediction
Jul 2018 - Aug 2018
Contributions:27 commits, 20 pushes, 2 branches in 1 month
liyouzhang/Kiva_Borrowers_Clustering_NLP
Jul 2018 - Oct 2018
Natural Language Processing with NMF model
Contributions:11 commits, 2 PRs, 17 pushes in 3 months
nlpldalanguage-processingmachine-learninglatent-dirichlet-allocation
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