Katherine Zhao
Analytics Engineer Data Science Consultant
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolKatherine Zhao is an analytics engineer and data science consultant with 10 years of experience turning fragmented healthcare data into production-ready risk adjustment and pricing products. She has led end-to-end development of Medicare and commercial risk models, built unified analytical marts (TUVA) across payors, and architected scalable pipelines that made messy data usable for multiple teams within months. Her background blends actuarial rigor—holding multiple SOA exam credits—with hands-on machine learning and engineering work, including contributions comparing R and Spark/H2O model performance in a prominent Azure ML samples repo. Katherine excels at bridging product, engineering, and medical economics stakeholders, mentoring best coding and data quality practices while running roadmaps and PM-style execution. Based in Mountain View, she combines actuarial discipline with practical ML systems design to deliver measurable financial and operational impact.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Statistics, Bachelor of Arts (B.A.) Statistics at University of California, BerkeleyIB Diploma, IB Diploma at Rancho Buena Vista High School
French, Chinese
Github Skills (14)
azure10
machine-learning10
spark10
h2o10
microsoft-azure10
glm10
r10
data-science9
data-transformation9
big-data8
yarn28
yarn-berry8
yarn38
yarnpkg8
Programming languages (1)
Github contributions (5)
Azure-Samples/Azure-MachineLearning-DataScience
Aug 2016 - May 2017
Role in this project:
Data Scientist
Data ScientistContributions:33 commits, 37 pushes, 1 comment in 8 months
Contributions summary:Katherine's contributions center around performance comparison of machine learning models using R and Spark/H2O. They wrote and executed R scripts to load data from Azure Blob Storage, perform transformations, train GLM models, and generate predictions, comparing results between H2O and RevoScaleR. The user also experimented with different datasets and wrote SparkR scripts.
mezmicrosoft/Microsoft_R_Server
Jan 2016 - May 2016
Contributions:65 pushes, 1 branch in 3 months
r-packagerstatsr-servermicrosoftsource-files
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