Elijah Goodfriend

Statistical Services Administrator

Pittsburgh, Pennsylvania, United States
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Summary

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Senior
🎓
Top School
Elijah 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.
code10 years of coding experience
job3 years of employment as a software developer
bookPhD Environmental fluid mechanics, PhD Environmental fluid mechanics at University of California, Berkeley
bookBA BS Mathematics Engineering, BA BS Mathematics Engineering at Swarthmore College
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Github Skills (12)

glmnet10
sustainability9
electricity9
climate-change9
electricity-prices8
parser8
r8
data-platform7
python7
data-visualization7
generalized-linear-models3
glm2

Programming languages (1)

Python

Github contributions (5)

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eli-goodfriend/ACS

Oct 2016 - Apr 2025

Contributions:38 pushes, 1 branch in 8 years 7 months
eli-goodfriend/banking-class

Jan 2017 - Feb 2017

Parse and categorize banking transactions
Contributions:41 commits, 12 pushes, 1 branch in 17 days
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