Summary
Taylor Sansom is an analytics engineer based in Austin with over a decade of experience turning messy scientific and environmental data into actionable insights using Python, applied ML, and reproducible pipelines. Their career bridges government environmental modeling—developing hydrodynamic and water quality models for Texas agencies—with product-focused BI and data engineering roles at Indeed, SciPlay, and Givebutter, giving them rare domain depth in both geoscience and production analytics. A lifelong learner who completed a data science career track after earning an MS in Atmospheric Sciences, Taylor combines rigorous statistical modeling with pragmatic data warehouse and BI skills. They’re passionate about data-for-good and teaching, and often translate complex model outputs into clear decision-ready visualizations and policies. An under-the-radar strength is their ability to migrate research-grade models into maintainable, production-ready analytics workflows.
10 years of coding experience
5 years of employment as a software developer
Bachelor's Degree Marketing, Bachelor's Degree Marketing at The University of Texas at Arlington
Master of Science (M.S.) Atmospheric Sciences and Meteorology, Master of Science (M.S.) Atmospheric Sciences and Meteorology at Texas A&M University
Data Science Career Track Data Science, Data Science Career Track Data Science at Springboard