Summary
Michael Pawlus is a data scientist with 11 years of experience building production-ready AI and analytics systems that drive action across higher education and nonprofit fundraising. Based in Columbus, Ohio, he combines practical data engineering (BigQuery, SQL, Databricks) with modeling in R and Python to deliver propensity models, audience segmentation, engagement scores, and journey analysis. He excels at translating complex metrics into clear, operational recommendations for business partners and has led small analytics teams and cross-functional initiatives to embed predictive scoring into decision-making. Earlier roles show a knack for NLP and topic modeling on messy text sources and for teaching analytics tools to expand organizational capability—skills he still leverages when turning exploratory models into repeatable pipelines.
11 years of coding experience
9 years of employment as a software developer
B.A., Public Relations, General Business, B.A., Public Relations, General Business at Grand Valley State University
MA, Librarianship, MA, Librarianship at The University of Sheffield