Professional Summary
Data Science Senior Manager with over 12 years of experience specializing in R/SQL programming, machine learning, geospatial analysis, and end-to-end data pipeline development. Demonstrated track record in enabling data-driven business decisions through consumer research, statistical modeling, and big data technologies (Hadoop, Spark, H2O). Currently leading analytics initiatives at Nike Greater China.
Work Experience
Nike | Shanghai, China
- Support the Nike Marketplace Sales team by delivering solutions for key account partners across O2O, membership programs, digital content, and partner-operated Douyin channels
- Built and implemented the Nike Social CRM & MA system on the Tencent Qidian platform, seamlessly connecting all Nike WeChat Touchpoints (Communities, 1v1 WeChat Message, Official Account, Mini-program pop-ups, Friend Circles, etc.) with Nike offline stores and WeChat Mini-programs
- Continuously drive integration of O2O strategies for Nike self-owned and key account partners, strengthening consumer engagement and driving business growth
Nike | Shanghai, China
- Led the Social Commerce Analytics team in delivering insights and analytical solution across Nike's self-owned Douyin (TikTok), WeChat, digital content, and connected partnership channels
- Built a Consumer Data Platform (CDP) on the HuoShan Engine, leveraging first-party consumer data to expand audience reach and enable performance-driven marketing for livestreams and short-form videos
- Designed and implemented KPI dashboards and ad-hoc analytical reports to support stakeholder decision-making and optimize campaign effectiveness
- Developed predictive models to recommend product assortments tailored to each Nike Douyin livestream and short-form video, enhancing consumer engagement and sales performance
Nike | Shanghai, China
- Led the Store Analytics Team to initiate geospatial initiatives (trade zone analysis, site selection, competitor benchmarking) using LBS&POI data, enhancing confidence in Jordan 2.0 and RISE store investment strategies
- Provided solutions on Nike O2O projects
- Developed machine learning solutions: scalper detection (deep learning), @wo true consumer incremental analysis; achieved cost saving through A/B testing (signage optimization, Nike Fit service feasibility assessment)
- Conducted quantitative research (Structural Equation Model) to evaluate in-store customer experiences and marketing campaign effectiveness
Starbucks | Shanghai, China
- Built the StarCompass geospatial system for Starbucks store site selection: developed R packages (LBSfun, GeoCN) for data processing, and implemented a 3-stage site recommendation model (clustering β classification β deep learning regression)
- Managed databases (PostgreSQL/PostGIS) and analytical servers (H2O)
- Established an internal technical repository using Rmarkdown and IIS
New York Metropolitan Transportation Council | New York, NY
- Developed congestion metrics using NPMRDS big data; constructed data pipelines (SQL/R) and visualized insights via Shiny dashboards and Rmarkdown reports
- Modeled travel demand and mode choice using time series and advanced data mining techniques
NYS Department of Transportation | Hauppauge, NY
- Analyzed traffic safety data (MySQL, R) using regression and classification models
- Conducted product demonstrations and presentations to prospects
- Developed the "Delay Study Tool" to streamline operational processes
Education
Jinan University, Guangzhou, China
The City College of New York, NYC, NY, USA
The City College of New York, NYC, NY, USA