Zhenyu Fan is a cross-functional data analyst with 10 years of experience combining product strategy and data science at major tech companies including ByteDance, Meituan, and Wish. He specializes in Python, SQL, NoSQL, Airflow, ML (sklearn, GCP ML), A/B testing, and data visualization, and holds an AWS Cloud Practitioner certification. Zhenyu has led small teams and set OKRs while delivering POCs for cross-border e-commerce and video products, and he often bridges analytics and product to turn experiments into monetization features. His background includes building ETL pipelines, automating BI reports, and mentoring junior analysts, with academic training from UC Davis (MS Business Analytics, 3.91 GPA). An active practitioner with a public GitHub and Kaggle profile, he blends rigorous analytic modeling (NLP and ARIMA experience) with product-minded execution in high-growth consumer platforms.
Contributions:133 commits, 23 PRs, 131 pushes in 27 days
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