Summary
Rachel Brynsvold is a data scientist with a nine-year track record of turning messy, cross-functional data into production ML solutions and actionable business recommendations. With roots in chemical engineering and product development at 3M, she blends rigorous experimental design and compliance expertise with modern data engineering and model deployment experience. She has productionized pipelines and ML features at scale for Walmart Technology, led model development for product classification at Smarter Sorting, and created intake and hiring processes to grow data teams. Skilled at translating technical results for executives, she also brings program-management chops from leading prototype builds and regulatory strategy—an uncommon combo that helps her both design robust models and shepherd them into real-world use. Based in Austin, she’s an avid knitter who presented her work at PyTexas, reflecting a curiosity that fuels continuous learning and clear communication.
9 years of coding experience
8 years of employment as a software developer
Certificate, Data Science, Certificate, Data Science at Galvanize Inc
Master's degree, Computer Science in Data Science, Master's degree, Computer Science in Data Science at University of Illinois Urbana-Champaign
BS, Chemical Engineering, BS, Chemical Engineering at Rose-Hulman Institute of Technology