Summary
Joe Corliss is a data scientist with a Master’s in Applied Mathematics and eight years of experience turning large, messy datasets into actionable business outcomes. He has a proven track record in real estate analytics—building regression and classification models that increased agent recruitment effectiveness and predicted offer acceptance, analyzing 750,000+ agents across 240 markets. Comfortable across the ML lifecycle, Joe develops in Python, deploys on AWS SageMaker, and ships reproducible pipelines and dashboards that stakeholders use to make decisions. He pairs strong statistical rigor and feature engineering with practical product instincts, having delivered 500+ code improvements and standardized 10,000+ office brand names via regex. Based in Raleigh, NC, he thrives in cross-functional teams and brings a tutor’s clarity to communicating technical insights to non-technical leaders.
8 years of coding experience
5 years of employment as a software developer
Master of Science (MS) Applied Mathematics, Master of Science (MS) Applied Mathematics at University of California, Davis
Bachelor of Science (BS) Mathematics; Minor in Physics, Bachelor of Science (BS) Mathematics; Minor in Physics at William & Mary