Rob Creel

Senior Learning Analytics Engineer at Vizient, Inc

Chicago, Illinois, United States
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Summary

👤
Senior
🎓
Top School
Rob Creel is a data engineering leader and EMR integration architect with nine years of experience building analytics-driven systems that streamline healthcare and e-commerce workflows. With a master's in mathematics and advanced data-visualization training from Northwestern, he combines rigorous quantitative thinking with hands-on ETL, cloud, and BI tooling to turn messy product and claims data into operational transparency and strategic insight. He has grown ERP catalogs to 80k+ SKUs, curated 100k+ digital assets into cloud warehouses, and led cross-functional teams to automate medical billing via EDI integrations. A former college math professor, he brings pedagogy and process discipline to mentoring engineers and creating repeatable data governance and auditing practices. Based in Chicago, he focuses on practical solutions that reduce onboarding time from days to hours while surfacing high-impact business opportunities.
code9 years of coding experience
job4 years of employment as a software developer
bookJohns Hopkins University
bookProgram, Data Science and Visualization, Program, Data Science and Visualization at Northwestern University
bookMaster's degree, Mathematics, Master's degree, Mathematics at University of New Orleans
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Stackoverflow

Stats
343reputation
8kreached
0answers
10questions
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Github Skills (14)

dplyr8
grammar8
data-manipulation8
r8
na6
autocomplete6
pgadmin6
linux6
ggplot6
paste6
dataframe6
lda6
latent-dirichlet-allocation3
anaconda1

Programming languages (5)

RCHTMLJupyter NotebookPython

Github contributions (5)

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robcreel/robcreel.github.io

Feb 2020 - Aug 2025

Contributions:2 PRs, 13 pushes, 3 branches in 5 years 7 months
robcreel/tyr

Jul 2020 - Jul 2020

This app uses a LDA (latent Dirichlet allocation) topic model to read a given text file and show other files on similar topics
Contributions:20 commits, 10 PRs, 9 pushes in 8 days
latent-dirichlet-allocationlda
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