Xiang Cao
Senior Data & Applied Scientist
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolXiang Cao is a Senior Data & Applied Scientist with 11 years of experience applying statistics and machine learning to large-scale problems across Microsoft, AWS, Discover, and e-commerce. He combines strong foundations in statistical modeling and experimental design with practical engineering skills in Python, R, Spark, Databricks and cloud databases to deliver production-ready models and automated pipelines. Notable projects include fraud and anomaly detection for Bing Ads, consumer lending models at Discover, and a daily revenue-forecasting engine and contextual multi-armed bandit for email marketing that improved forecasting accuracy and personalization. Comfortable spanning research and implementation, he routinely embeds models into operational alerting and reporting systems and tunes them with rigorous cross-validation and parameter search. He also publishes a data science blog with tutorials and project write-ups, reflecting a habit of translating technical work into reproducible explanations for peers.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at University of Electronic Science and TechnologyMaster’s Degree, Statistics, Master’s Degree, Statistics at Bowling Green State UniversityNanodegree, Machine Learning Engineering, Nanodegree, Machine Learning Engineering at UdacityCertificate, Data Science, Certificate, Data Science at Coursera
Chinese, English
Github Skills (7)
python9
statistics9
machine-learning8
data-analysis8
data-science8
scikit7
scikit-learn7
Programming languages (1)
Github contributions (5)
byrony/LeetCode
Oct 2016 - Sep 2021
Contributions:53 commits, 51 pushes, 1 branch in 4 years 11 months
byrony/Udacity_Machine_Learning_ND
Oct 2016 - Nov 2017
Contributions:25 commits, 23 pushes, 1 branch in 1 year
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