Jordan Moody is a data scientist with nine years of experience building revenue-focused analytics and automation across large enterprises. Currently driving revenue forecasting at Temporal, he previously led geospatial and ML efforts at Verizon that cut new store openings by 30% and recovered millions in misrecognized revenue. Jordan blends practical engineering—SQL, Python, R, ETL and automation—with business-facing storytelling, having supported 700+ finance users and streamlined processes tied to $600M in annual revenue. He holds a MS in Data Analytics from Georgia Tech and a MIS background from the University of Oklahoma, pairing formal training with hands-on delivery. Colleagues know him for turning routine reporting into high-leverage decision tools and for automating repetitive work to save thousands of hours annually.
9 years of coding experience
5 years of employment as a software developer
Master's of Science, Data Analytics, Master's of Science, Data Analytics at Georgia Institute of Technology
Bachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at University of Oklahoma
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