Kelsey Campbell is a data scientist and AI/ML engineer with 10 years of experience applying analytical research and machine learning to real-world problems, particularly at the intersection of data and social justice. With an MS in Analytics from North Carolina State and a BS combining economics, management, and mathematics from Purdue, they bridge rigorous quantitative training with practical implementation. Based in Washington, D.C., Kelsey draws on interdisciplinary thinking to translate complex datasets into actionable insights for policy and advocacy. They founded and contribute to GaytaScience, reflecting a commitment to community-focused open-source work that channels technical skills toward equity. Colleagues describe Kelsey as both methodical and creative—equally comfortable prototyping models and communicating findings to nontechnical stakeholders.
10 years of coding experience
Master of Science (M.S.), Analytics, Master of Science (M.S.), Analytics at North Carolina State University
Bachelor's of Science (B.S.), Economics - Management - Mathematics, Bachelor's of Science (B.S.), Economics - Management - Mathematics at Purdue University
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