Mengying Wang
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMengying Wang is a data scientist with a decade of experience and a focused five-year track record in healthcare analytics, currently applying her expertise at Meta in New York. She combines strong statistical training (MS in Applied Mathematics and Statistics) with hands-on proficiency in SQL, Python, R, SAS and Scala to build ML models and complex analyses. At Charles River Associates she led commercial strategy projects—patient journey, physician segmentation, market access—using methods from random forests with SHAP to K-means/GMM and translating results into interactive dashboards (PowerBI, Tableau, Qlik). Her domain fluency with major healthcare secondary data sources (IQVIA, Komodo, Symphony, CMS, etc.) enables rapid, practical insights for life sciences clients. Comfortable as both lead coder and internal project manager, she bridges technical delivery and stakeholder-facing synthesis. An uncommon strength is pairing rigorous quantitative modeling with production-ready reporting tools that drive actionable decisions across commercial teams.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Beijing Normal UniversityPeace and conflict study, Peace and conflict study at University of California, BerkeleyMaster's degree, Applied Mathematics and Statistics, Master's degree, Applied Mathematics and Statistics at Stony Brook University
English, Chinese
Github Skills (26)
valine10
translation10
cjk10
rms10
fb210
gnome8
ranking7
science6
react6
gnome-shell6
computer-science5
glib5
django5
google4
java4
Programming languages (9)
Github contributions (5)
wang-mengying/wang-mengying.github.io
Dec 2020 - Sep 2025
Contributions:37 pushes, 1 branch in 4 years 9 months
crux-project/CRUX
Feb 2022 - Oct 2022
Contributions:80 commits, 2 PRs, 39 pushes in 7 months
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