Yu-jay Huoh
Principal Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolYu-jay Huoh is a Principal Data Scientist in Berkeley with 11+ years of experience applying advanced statistics, stochastic processes, and machine learning to credit modelling, enterprise risk, and environmental science. He holds a PhD in Statistics from UC Berkeley and combines deep theoretical expertise—Bayesian nonparametrics, information theory, spatial statistics—with hands-on engineering skills in R and SQL and production experience in Node.js and Python. Yu-jay has built end-to-end modelling and reporting systems (from ETL to deployment) at companies like Earnest, SmithRx, and Intuit, and led teams through hiring, process design, and scaling data organizations. He enjoys tackling scalability and reproducibility challenges and is currently focused on spatial datasets and processes, bringing an unusual mix of academic rigor and pragmatic product delivery. Known for being intensely technical yet big-picture oriented, he also values integrity—summed up wryly on GitHub as “integrity won't buy me a new boat.”
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at University of California, Berkeley
French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (58)
mysql9
mariadb9
jsonb9
postgresql9
javascript9
json9
typescript9
databases9
sqlite9
mssql9
sql9
oracle-db9
orm9
nodejs9
microsoft-sql-server9
Programming languages (4)
Github contributions (5)
yjhuoh/write-pad
Mar 2016 - Jan 2017
Contributions:2 commits, 1 PR, 7 pushes in 10 months
yjhuoh/node-jiggler
May 2017 - Feb 2018
Contributions:1 push, 1 branch in 9 months
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