Donald Hays is an experienced statistician with 11 years at the U.S. Census Bureau, applying rigorous quantitative methods to government data and policy questions. He combines strong programming skills in Python and SQL with practical expertise in Stata, data cleaning, and analysis to produce reliable, auditable results for large-scale surveys and administrative datasets. Trained in sociology and anthropology with MA-level study, he brings a social-science perspective that helps translate complex statistical findings into policy-relevant insights. Based in the Washington DC–Baltimore area, he’s comfortable working within federal data environments and standards while bridging technical and stakeholder-facing roles. A detail-oriented practitioner, he often focuses on reproducible workflows and data provenance to ensure analyses withstand scrutiny.
11 years of coding experience
Bachelor of Arts (B.A.), Sociology & Anthropology, Bachelor of Arts (B.A.), Sociology & Anthropology at Western Kentucky University
Contributions:8 commits, 5 pushes in 4 years 8 months
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