Yaotong

About Yaotong

As a Staff Applied Scientist on Personalization at Walmart Global Tech, I specialize in designing, developing, and deploying industrial-level, scalable ML solutions that directly impact customer-facing products.My expertise is centered on driving business value by blending deep statistical rigor with operational engineering excellence- Impact & Scale: Lead the strategy and implementation of large-scale personalization and recommendation systems. Consistently deliver measurable business outcomes through advanced ML and data-driven solutions- Production Pipeline Maturity: Proven ability to build, orchestrate, and monitor scalable ML models within production pipelines (e.g, Airflow DAGs), ensuring robust, maintainable, and operational best practices- Innovative Techniques: Advanced expertise in leveraging modern ML methods, including exploring and implementing Reinforcement Learning (RL) for sequential decision-making and hands-on experience with LLM agents (e.g, text-to-SQL tool development)- Statistical & Modeling Rigor: Technical expertise anchored by a PhD in Statistics. Leverage advanced statistical knowledge for rigorous model validation, performance tuning, and robust online experimentation (A/B testing) across deployed ML systems.Please contact me at y••••••••@gmail.com

Experience

1. Staff Data Scientist, Tech Lead

   Walmart Global Tech

   Nov 2023 — Present · Sunnyvale, CA, US

   Personalization

Education

• Renmin University of China

  Bachelor of Science (B.Sc.), Statistics

  2009 — 2013

• The University of Georgia

  Doctor of Philosophy (Ph.D.), Statistics

  2013 — 2018

Skills

• Matlab
• Sql
• Statistical Computing
• Statistical Modeling
• Time Series Analysis
• Python
• Latex
• Stata
• Sas Programming
• Vba
• Data Analysis
• Microsoft Excel
• Data Mining
• Sas Base
• Research
• Quantitative Analytics
• Sas
• Econometrics
• Microsoft Office
• Statistical Programming
• Statistical Tools
• Statistics
• Spss
• R
• Statistical Data Analysis