Senior Data Scientist
7+ years building pricing, forecasting, and decision-support systems that drive measurable business impact across logistics and tech.
I'm a Senior Data Scientist who turns complex data into systems that make better decisions at scale. Over the past 7+ years, I've designed and deployed production-grade models across dynamic pricing, demand forecasting, and revenue optimization — work that has driven double-digit growth in real markets.
At SF Express (China's largest logistics company), I built the price elasticity and cost estimation models at the core of a company-wide dynamic pricing system spanning 470+ routes. At Ximalaya (China's #1 audio platform, 600M+ users), I led a cross-functional team to develop ML models that replaced subjective judgment with data-driven decisions in copyright acquisitions.
I hold dual Master's degrees from Georgia Tech in Computational Science & Engineering and Analytics, and a B.S. in Economics from the University of Minnesota. I'm based in Atlanta and bring a blend of rigorous quantitative training and hands-on experience shipping models that create measurable business impact.
Featured work with measurable business impact
Independent Project
Developed seasonal demand forecasting model to eliminate recurring peak-season stockouts. Built automated competitor price monitoring system using Amazon API for dynamic pricing decisions.
SF Express — $30B+ Revenue
Led development of price elasticity and cost estimation models as core components of a company-wide dynamic pricing system. Validated through real-market experiments achieving 14% morning volume increase.
Ximalaya — 600M+ Users
Led cross-functional team to develop and deploy a CatBoost-based copyright value estimation model, enabling data-driven investment decisions that previously relied on subjective judgment.
SF Express
Applied NLP (Bag-of-Words) and Keras quantile regression on historical customs data to recommend declaration value ranges. Deployed to Japan and South Korea order channels.
SF Express — Consulting
Built t+3 day SKU-level demand forecasting for a fresh grocery chain across 5 stores with RF + CatBoost ensemble and engineered calendar, weather, and sales distribution features.
Ximalaya
China's #1 audio platform — 600M+ users, comparable to Spotify/Audible
SF Express — SF Technology Co., Ltd
China's FedEx — largest logistics company, NYSE-listed, $30B+ revenue
Big Data Analytics Trading Inc
"Dynamic Pricing Strategy for Logistics Revenue Management using Data Mining Technology."
ISCSIC 2020, ACM
M.S. in Computational Science & Engineering, M.S. in Analytics
B.S. in Economics with Distinction
I'm open to Senior Data Scientist, ML Engineer, and analytics roles in Atlanta or remote. Let's talk about how I can help your team make better data-driven decisions.