Jay Qi

Principal Data Scientist & Director Of Engineering

Washington, District of Columbia, United States
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Summary

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Jay Qi is a Principal Data Scientist and engineering leader with 11 years of experience applying machine learning and software engineering to mission-driven problems across industry and research. He has led teams building condition-monitoring and failure-prediction systems for heavy equipment and locomotives, scaled ML deployments in production, and now directs engineering at DrivenData where he focuses on climate, health, education, and disaster-recovery use cases. Trained as a mechanical and aerospace engineer (Princeton, Caltech) and an NSF fellow, he combines rigorous numerical simulation and control expertise with practical data-science tooling and pipelines. Notably, his background includes hands-on robotics and rover-drill design at JPL and core contributions to open-source tools for data science workflows, reflecting a rare blend of physical-systems intuition and production ML experience.
code11 years of coding experience
job12 years of employment as a software developer
bookFellow, Data Science, Fellow, Data Science at The Data Incubator
bookCalifornia Institute of Technology
bookB.S.E. with highest honors, Mechanical and Aerospace Engineering, B.S.E. with highest honors, Mechanical and Aerospace Engineering at Princeton University
languagesEnglish, Chinese, French, chinese (shanghainese)
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Stackoverflow

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Github Skills (200)

ecology10
json-schema10
dependency-analysis10
erd10
command-line-tool10
cpd10
data-science10
openid-connect10
docstrings10
decorator10
amazon-s310
venv10
python-data10
hugo-theme10
python10

Programming languages (19)

JavaCSSC++RustCTeXMakefileGo

Github contributions (5)

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jayqi/spongebob

Dec 2018 - Apr 2021

SPoNgeBOb-CAse cONveRSioN ToOLs
Contributions:5 releases, 114 commits, 35 PRs in 2 years 4 months
case-conversionrspongebobspongemockmemes
jayqi/jayqi.com-homepage

Mar 2016 - Oct 2021

Contributions:8 pushes, 3 branches in 5 years 7 months
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