Summary
Matt Porritt is a senior analytics leader with 11+ years of experience building and scaling data science teams and delivering predictive models and productized insights across Cox Enterprises. He blends deep statistical expertise—from experimental design and time-series modeling to machine learning methods like lightGBM and neural nets—with hands-on proficiency in cloud and big-data tooling (AWS, Databricks, Spark, Redshift). Known for translating complex analyses into executive-ready recommendations, he has a track record of creating cross-functional analytics programs spanning digital product, marketing, and customer behavior. A former academic researcher with a PhD in Applied Behavior Analysis, he brings rigorous experimental discipline and mentoring experience to commercial analytics, often designing the measurement frameworks that make models actionable.
11 years of coding experience
17 years of employment as a software developer
PhD Applied Behavior Analysis, PhD Applied Behavior Analysis at Western Michigan University