Daryl Gregory is a Business Intelligence Engineer with 11+ years of hands-on experience applying SQL, Python, and AWS services to drive supply chain analytics and continuous improvement at Amazon. He combines a deep supply chain background (15+ years of domain work) with technical leadership in managing teams, budgets, and analytics implementations. Daryl has completed advanced machine learning training—including a Master’s in Machine Learning/Predictive Analytics and extensive Amazon MLU coursework—and has been a six-time MLU Champion for top-performing models. He builds production-ready data pipelines on Redshift, PostgreSQL, S3, Lambda, DynamoDB and QuickSight, and is pursuing AWS ML certification to formalize his expertise. Notably, he blends practitioner-level coding with supply chain optimization know-how, translating complex ML outputs into operational decisions.
11 years of coding experience
MicroMasters, Analytics: Essential Tools and Methods, MicroMasters, Analytics: Essential Tools and Methods at Georgia Institute of Technology
Transfer, Quantitative Business Analysis, Transfer, Quantitative Business Analysis at Penn State University
Bachelor of Science (B.S.), Computer Science / Information Systems, Bachelor of Science (B.S.), Computer Science / Information Systems at DeSales University
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