David Gillen is a data and analytics leader with over two decades of experience turning math-heavy theory into production-grade systems, currently serving as VP of Data & Analytics at Precocity. He combines hands-on expertise in Python, Spark, R, Java and C++ with strategic leadership of ML, data engineering, and MLOps teams to deliver measurable business impact—examples include multi-million dollar savings for carriers and airlines and a 60,000-minute delay reduction for American Airlines. Comfortable at the executive table, he excels at translating stakeholder problems into pragmatic data architectures while still “getting his hands dirty” improving ELT pipelines and writing production code. His background spans enterprise MDM, real-time optimization, and cloud warehouse migrations, giving him a rare blend of optimization, systems architecture and modern data-platform chops. Based in Flower Mound, Texas, he pairs an applied mathematics graduate education with a track record of leading cross-functional teams to deploy scalable AI and analytics products.
7 years of coding experience
15 years of employment as a software developer
Master's Degree, Applied Mathematics, Master's Degree, Applied Mathematics at Clemson University
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Southwestern University
Content for a retail-focused workshop showcasing the data and analytics capabilities of the Google Cloud Platform
Contributions:13 commits in 15 days
gcpanalyticsworkshopgoogle-cloud-platformfocused
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