Summary
Brian Neely is a Senior Data Scientist with eight years of experience building and operationalizing ML solutions across utilities, telecom, and e-commerce, currently driving data science at T-Mobile after leading practice-level work at Puget Sound Energy. He blends a strong engineering foundation (BS and MS in Nuclear Engineering) with an MBA in Project Management and Data Analytics to translate complex technical models into measurable business impact. At PSE he launched the utility’s first outage-prediction AI and an AWS data science lab, and at Amazon he improved last-mile delivery through driver personas and preemptive outreach model enhancements. As a consultant at Keyence he led nationwide projects that produced immediate cost savings for manufacturers and trained sales and technical teams to have independent data conversations. He has practical program delivery experience from defense and national lab projects—where he cut forecasting time and improved earned value reporting—and a pattern of mentoring and scaling junior talent. Notably, his cross-domain background (nuclear engineering, project controls, and applied ML) enables him to spot non-obvious operational signals and turn them into predictive advantage.
8 years of coding experience
10 years of employment as a software developer
Doctor of Engineering Engineering, Doctor of Engineering Engineering at Penn State University
Master’s Degree Nuclear Engineering, Master’s Degree Nuclear Engineering at Oregon State University
Associate's degree General Studies, Associate's degree General Studies at Umpqua Community College
Master of Business Administration (M.B.A.) Project Management and Data Analytics, Master of Business Administration (M.B.A.) Project Management and Data Analytics at Willamette University MBA