Elijah Goodfriend
Statistical Services Administrator
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolElijah Goodfriend is a mission-driven quantitative researcher and Statistical Services Administrator with nine years of experience applying machine learning, software engineering, and statistical methods to medical and educational problems. He currently manages data operations and reporting for psychiatric research at UPMC, harmonizing diverse sources—from gene expression and behavioral tasks to free-text EHRs—and building REDCap systems and NLP filters to accelerate discovery. Previously he designed production NLP pipelines, CI/CD workflows, and bias analyses at Turnitin and led ML infrastructure and batch modeling at Nielsen, blending research rigor with production engineering. He holds a PhD in environmental fluid mechanics and repeatedly translates complex modeling skills into practical datasets and reproducible code, including optimized scientific simulations and high-precision transaction classification. Colleagues rely on him for clear data products, reproducible analyses, and mentorship of junior statisticians.
9 years of coding experience
3 years of employment as a software developer
PhD Environmental fluid mechanics, PhD Environmental fluid mechanics at University of California, BerkeleyBA BS Mathematics Engineering, BA BS Mathematics Engineering at Swarthmore College
Github Skills (13)
glmnet10
electricity10
consumption9
sustainability9
linear-models9
climate-change9
electricity-prices8
data-visualization8
r7
visualization7
python6
glm5
generalized-linear-models2
Programming languages (1)
Github contributions (5)
eli-goodfriend/banking-class
Jan 2017 - Feb 2017
Contributions:41 commits, 12 pushes, 1 branch in 17 days
eli-goodfriend/automat
Jan 2018 - Nov 2020
Contributions:5 pushes, 1 branch in 2 years 10 months
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