Summary
Ying Liu is an analytics-focused data scientist with a decade of experience building measurement systems and data foundations for advertising products at companies like ByteDance, Reddit, and DoubleVerify. She combines applied statistics, machine learning, and ETL engineering to design core ads metrics, deploy models, and create real-time alerting that protect revenue and improve advertiser retention. Her background spans product analytics, content safety measurement, and ads marketplace instrumentation, with hands-on use of PySpark, Airflow, SQL and cloud storage. Based in Shanghai, she brings a practical blend of research-driven modeling and production-first engineering, and has a track record of turning complex experiments and A/B tests into operational dashboards and decision-ready insights. An unexpected facet: she pairs technical rigor with a poetic sensibility hinted at in her GitHub bio, suggesting a creative approach to data storytelling.
10 years of coding experience