Xinyan Yang
Data Scientist
Jiangsu, China
Summary
👤
Senior🎓
Top SchoolXinyan Yang is a data scientist with nine years of analytical experience and two years focused in industry roles, currently applying ML and deep learning at BASF. Trained with a Master's in Statistics from UIUC and dual bachelor's in Physics and Statistics, she blends strong statistical rigor with practical engineering—proficient in Python, R, SAS, SQL, Spark and PyTorch. Her work spans sales forecasting, pricing and promotion optimization, CV-based shelf detection, and assortment/pricing optimization that directly informed business strategy at P&G and AB InBev. She has delivered production-ready models and visual analytics, including a 95.6% accurate text classifier and interactive R Shiny dashboards for clickstream insights. Based in Jiangsu, China, Xinyan pairs domain-driven experimentation with scalable data pipelines and a knack for turning complex, linked datasets into actionable revenue-growing recommendations.
9 years of coding experience
2 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at University of Illinois Urbana-ChampaignBachelor's degree Physics, Bachelor's degree Physics at Xiamen University
Chinese, English, Japanese
Stackoverflow
17reputation
7kreached
0answers
5questions
Github Skills (7)
keras6
algorithm6
unreal-engine-56
tensorflow6
python6
cpu5
pytorch3
Programming languages (1)
Github contributions (5)
xinyanyang/DeepLearning
Oct 2018 - Mar 2019
Contributions:34 commits, 20 pushes, 1 branch in 4 months
xinyanyang/UIUC-18Spring
Feb 2018 - May 2018
Contributions:74 pushes, 1 branch in 3 months
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