Sean Morey provides insights, analytics, and reporting for the United States Postal Service. With a background spanning data science, machine learning, analytics, and AI, he helps transform complex data into practical solutions that support informed decision-making. Working closely with a team of data professionals, Sean develops data-driven approaches to address unique challenges across the Postal Service’s ever evolving industry landscape.
Sean earned bachelor’s degrees in Mathematics and Audio Engineering from Belmont University before completing a master’s degree in Data Science at Lipscomb University. Prior to joining the Christensen, he worked in education, home automation, finance, and manufacturing, including helping Caterpillar model the long-term value of used equipment for leasing programs.
Outside of work, Sean enjoys disc golf, making pizzas, reading science fiction, and occasionally teaching courses in Data Science and AI.
