David Jones is a co-founder and applied forecasting engineer with a decade of experience combining economics, research, and Python-driven machine learning to deliver operational timeseries forecasts. At Forelytex he builds production-ready forecasting and analysis tools that manage millions in retail ATM cash daily, translating complex demand patterns into actionable cash-management decisions. His background in education policy research and student finance originations gives him a rare blend of domain rigor and product focus, enabling clear communication of probabilistic forecasts to business stakeholders. Based in Atlanta, he pairs a Master’s in Economics with hands-on software development and data visualization expertise to simplify end-to-end forecasting workflows for cash managers.
10 years of coding experience
7 years of employment as a software developer
Bachelors of Science in Business Administration, Business/Managerial Economics, Bachelors of Science in Business Administration, Business/Managerial Economics at Nichols College
Master's Degree, Economics, Master's Degree, Economics at Georgia State University
Contributions:36 commits, 6 PRs, 34 pushes in 3 months
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