Peiyi Wang
Research Assistant at McMaster University
Hamilton, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolPeiyi Wang is a research-focused data scientist and fourth-year Mathematics and Statistics co-op student at McMaster University with eight years of practical experience in data engineering, statistical modeling, and applied machine learning. At McMaster she builds scalable R pipelines to process 10k+ gene datasets, applies Bayesian deconvolution and PCA-based QC to reduce bias, and implements interpretable models (Ridge, LASSO, Random Forest, RSKC) achieving up to 72% predictive accuracy. Her internship at NIO automated large-scale social media collection and deployed NLP sentiment models on 20k+ posts, driving higher engagement through automated outreach scripts. Comfortable across R and Python, she translates complex, high-dimensional analyses into visualizations and actionable insights for cross-functional teams. A detail-minded analyst, she combines reproducible pipeline engineering with domain-aware modeling to bridge computational rigor and biological interpretation.
8 years of coding experience
Bachelor of Science - BS, Honours Mathematics and Statistics - Statistics Specialization Co-op, Bachelor of Science - BS, Honours Mathematics and Statistics - Statistics Specialization Co-op at McMaster University
Chinese, EnglishProgramming languages (1)
Github contributions (5)
fengyue723/test-repo
Nov 2017 - Aug 2019
Contributions:2 pushes, 1 branch in 1 year 9 months
fengyue723/K-prototypes
Oct 2019 - Nov 2019
Contributions:12 commits, 9 pushes, 1 branch in 1 month
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