Independent project analyzing B2B SaaS data; identified 8 key behavioral patterns; built churn model with weekly active churn probability below 0.01 while controlling for confounders; created interactive dashboards to visualize churn segments; projected to reduce monthly churn rate from 5.2% to 3.8%.

Data Scientist at Amazon

November 1, 2021 - November 1, 2023

Built ML voice-of-Customer model integrating 5 enterprise systems via REST; deployed on cloud infrastructure; improved accuracy for contact-center patterns and agent routing.

Data Scientist at Yidian

March 1, 2019 - May 1, 2021

Built large-scale event analytics dashboards with real-time anomaly detection and anti-fraud monitoring for campaigns; developed 7-day churn prediction model; built real-time data pipelines and cohort retention analyses; improved retention and CAC attribution.

Analytics Engineer / Data Scientist at Cooladata

May 1, 2017 - July 1, 2018

Enhanced analytics foundation for campaign tagging; wrote 100+ SQL queries; integrated data from multiple marketing platforms; defined core product metrics; built data quality monitoring; led weekly A/B tests and accelerated product iteration from 14 to 7 days; cross-functional collaboration; market and competitive analysis for B2B SaaS.