Kemeng Zhang
Health Economics Undergraduate Researcher
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKemeng Zhang is a data-driven health economics researcher and applied statistician with eight years of quantitative experience, trained at UNC and currently pursuing Data Science at Harvard. He combines Python and R proficiency with reduced-form and linear modeling to translate complex healthcare data into strategic insights, exemplified by his work linking report card outcomes to patient expected mortality rates. Comfortable in interdisciplinary teams, he has built dietary optimization models and supported digital transformation efforts at GE HealthCare, blending technical rigor with practical impact. Based in Boston, Kemeng brings a rare mix of academic training and hands-on analytic experience, plus a track record of communicating technical ideas to diverse stakeholders.
8 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at Harvard UniversityBachelor's degree, Statistics, Economics, Bachelor's degree, Statistics, Economics at The University of North Carolina at Chapel Hill
Github Skills (45)
data-science9
r9
python9
machine-learning9
kaggle9
statistics9
data-analysis9
jupyter-notebook9
prediction8
decision-tree8
bayesian-methods8
cuda8
classification8
pymc8
scikit-learn8
Programming languages (5)
Github contributions (5)
hrbzkm98/ml-research
Sep 2019 - Nov 2019
A repository for machine learning based investment strategies
Contributions:7 commits, 13 pushes, 1 branch in 2 months
machine-learning
hrbzkm98/ASE
Dec 2017 - May 2018
Contributions:6 pushes, 1 branch in 5 months
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