Jason Benner is a Machine Learning Engineer and economist with 10 years of experience applying financial analysis, market research, and data science to inform strategic decisions across academia and industry. He has progressed from procurement and fiscal roles to senior financial analyst positions at the University of Maryland and regional analysis at D.R. Horton, blending domain expertise with quantitative modeling. Jason pairs a formal background in economics and development with technical upskilling (Udacity Self-Driving Car nanodegree and MLIS studies), enabling him to translate complex datasets into actionable reports and systems. He is drawn to building reproducible analytics and ML-driven reporting tools that empower stakeholders rather than just producing charts. Based in Chandler, Arizona, he brings an economist’s rigor to machine learning projects, often focusing on pragmatic, policy-relevant questions rather than purely academic models. Colleagues would describe him as a problem-solver who bridges finance, data engineering, and user-focused delivery.
10 years of coding experience
Self Driving Car Nanodegree Engineering, Self Driving Car Nanodegree Engineering at Udacity
High School Diploma General Studies, High School Diploma General Studies at Nooksack Valley High School
AAS Business/Commerce General, AAS Business/Commerce General at Whatcom Community College
Master of Library & Information Science - MLIS, Master of Library & Information Science - MLIS at University of Maryland
Masters degree Development Economics and International Development, Masters degree Development Economics and International Development at The University of Queensland
Bachelor's degree Economics, Bachelor's degree Economics at Western Washington University
Contributions:36 commits, 21 pushes, 1 branch in 3 days
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Jason Benner - Machine Learning Engineer at GreensboroAI