Shan Zhong
Machine Learning Engineer at 新石器无人车Neolix
Columbia, South Carolina, United States
Summary
👤
Senior🎓
Top SchoolShan Zhong is a Machine Learning Engineer and PhD candidate in Statistics with nine years of experience applying statistical modeling and deep learning to time series, finance, and autonomous systems. Currently building dispatch algorithms for Neolix autonomous vehicles, Shan combines academic rigor—dissertation work on deep learning, clustering, and decision processes—with practical production experience in scraping, NLP feature extraction, and portfolio construction. Prior roles span actuarial consulting and predictive modeling for insurance and reinsurance, including automated scraping of 20,000+ products and Poisson claim-frequency models for 1,400 companies. A former teaching assistant who designed large-scale projects on S&P 500 prediction and multi-agent policy learning, he brings strong quantitative storytelling and a knack for turning complex statistical ideas into deployable pipelines. He also holds an MS in Actuarial Science from Columbia and has passed four actuarial exams, reflecting a rare blend of theoretical depth and industry-focused execution.
9 years of coding experience
High School Diploma, High School Diploma at High School Attached to Shanghai Normal UniversityMaster of Science (M.S), Actuarial Science, Master of Science (M.S), Actuarial Science at Columbia University in the City of New YorkBachelor of Science (B.S), Mathematics and Economics, Minor in Finance, Bachelor of Science (B.S), Mathematics and Economics, Minor in Finance at Southern Utah UniversityDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of South Carolina
Github Skills (4)
insurance4
scraper3
scrapy3
python3
Programming languages (1)
Github contributions (5)
Shanlearning/shanlearning.github.io
Sep 2019 - Nov 2023
Contributions:79 pushes, 1 branch in 4 years 2 months
Shanlearning/Stat201
Aug 2019 - May 2022
Contributions:252 pushes, 1 branch in 2 years 9 months
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