Summary
Alexis K is a data scientist and self-taught software engineer with 11 years of experience building data pipelines, statistical models, and visualizations to inform public policy and organizational decisions. Based in the Chicago area, Alexis has applied R and Python to reveal healthcare inequities, map homelessness geospatially, and support agricultural policy through web-scraped commodity datasets. Their background spans enterprise ETL and big-data frameworks (Scala, Spark, Hive, AWS) as well as research-driven numerical methods from an Engineering Physics degree, bridging rigorous quantitative thinking with production data engineering. Comfortable moving between analysis, automation and civic-focused projects, Alexis has a track record of turning messy public data into actionable dashboards and decision rules. A generalist open-source data enthusiast, they combine domain curiosity with practical deployment experience, from REST APIs to 15-minute dashboard SLAs.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Civic Analytics, Master of Science - MS, Civic Analytics at University of Illinois at Chicago
University of Illinois Urbana-Champaign