Justin Papreck is an analytics engineer with 8 years of cross-disciplinary experience turning messy, high-noise data into actionable insights for biotech and commercial clients. Trained as a bioengineer and electrophysiology practitioner, he brings rare hands-on expertise in building data acquisition hardware and pipelines as well as in designing reproducible lab procedures—skills that inform his pragmatic approach to ETL/ELT and instrumentation-level signal cleaning. He has led analytics and consulting engagements, improving instructional outcomes and product performance through rigorous experimental design, statistical modeling, and stakeholder-facing storytelling. Currently at Benzinga and consulting independently, Justin blends engineering discipline with a detective’s curiosity to reveal not just what happened in the data but plausible hypotheses about why. Based in Chicago, he pairs late-night command-line focus with a musician’s temperament, often iterating complex solutions while strumming minor sevenths on the porch. An eclectic background from tissue electrophysiology to test-prep optimization gives him an uncommon ability to translate technical complexity into measurable business value.
8 years of coding experience
3 years of employment as a software developer
Certificate Data Analytics and Visualization Bootcamp, Certificate Data Analytics and Visualization Bootcamp at UC San Diego Extended Studies
B.S. Biotechnology, B.S. Biotechnology at Illinois Wesleyan University
M.S. Biomedical Engineering, M.S. Biomedical Engineering at Emory University
Washington University in St. Louis
The University of Queensland
M.S. Biomedical Engineering, M.S. Biomedical Engineering at Georgia Institute of Technology
Capstone Project using Python, Pyplot and Seaborn to investigate the correlation of GDP with Life Expectancy
Contributions:2 PRs, 9 pushes, 3 branches in 3 years
capstoneseabornpythonlife-expectancydata-science
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