Matthew Pocernich
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolMatthew Pocernich is a data analyst with 12 years of experience applying statistics, engineering and data science to produce reproducible, defensible insights for business and environmental problems. He combines expert R, SQL and Python skills with software engineering practices—git, Airflow, agile workflows and IDEs like Cursor—to deliver tested, well-documented analysis and forecasting. His work spans water resources and atmospheric science to large-scale advertising measurement at Oracle, where he developed methods for reach and frequency estimation from fragmented, multi-platform data. Matthew excels at turning imperfect, heterogeneous data into clear visualizations and client-ready summaries, often uncovering new questions as part of the answer. Based in Denver, he brings a pragmatic mix of causal inference, raking and extreme-value techniques informed by domain experience across environmental regulation and ad measurement.
12 years of coding experience
16 years of employment as a software developer
BSE, Civil Engineering, BSE, Civil Engineering at University of MichiganMaster's degree, Environmental Engineering, Master's degree, Environmental Engineering at Colorado State UniversityMaster's degree, Statistics (Applied Math), Master's degree, Statistics (Applied Math) at University of Colorado Denver
Github Skills (25)
r-package9
amazon7
r7
grammar7
aws-s36
dplyr6
parser6
dbi6
api-client6
polars5
aws5
api5
data-transformation5
manipulation5
odbc5
Programming languages (2)
Github contributions (5)
USEPA/Phytoplankton-Data-Analysis
Jan 2014 - Aug 2014
Contributions:109 commits in 7 months
CoWy-ASA/RiverWatch
Apr 2015 - Aug 2015
Contributions:21 pushes, 11 comments, 10 issues in 3 months
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