Gabriel Rigall is a Senior Data Scientist based in St. Louis with nine years of applied experience building full-stack, automated data solutions that inform senior leaders and policymakers. He combines graduate-level training in quantitative and qualitative analysis with hands-on expertise in Python, SQL, CI/CD, OpenShift, and visualization tools like Tableau and Plotly to deliver productionized models and dashboards. Gabriel has repeatedly translated constrained operational environments into robust analytic programs—most notably developing data governance and semi-automated reporting for large COVID-19 response missions in the National Guard. He leads and mentors teams, pairing statistical rigor (supervised/unsupervised learning, simulation) with pragmatic engineering of end-to-end pipelines. Comfortable across government, nonprofit, and commercial settings, he also serves as a sysadmin for learning and clinical systems, blending domain knowledge with technical delivery. Known as a “data scientist at large” on GitHub, he favors practical, stack-to-stack integrations that move insights into action.
9 years of coding experience
12 years of employment as a software developer
Master of Public Administration (MPA), Health/Health Care Administration/Management, GPA 3.88, Master of Public Administration (MPA), Health/Health Care Administration/Management, GPA 3.88 at Portland State University
Associate of Arts - AA, Arabic, GPA 3.45, Associate of Arts - AA, Arabic, GPA 3.45 at Defense Language Institute Foreign Language Center
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