Dayne Batten is a Senior Data Scientist with a decade of experience applying statistical modeling, machine learning, and data engineering to product and operational problems across industry and government. He currently designs and deploys highly accurate indoor positioning models for WiFi and Bluetooth devices and builds the cloud APIs that deliver those capabilities to enterprise applications. His background includes NLP and LSTM work that automated support routing, linear programming to cut supplier costs by hundreds of thousands annually, and large-scale ETL and analytics on multi-billion-row Redshift warehouses. Comfortable translating research into production, he pairs rigorous statistical methods with pragmatic engineering to deliver measurable business impact. Based in the Raleigh-Durham area, he blends public-sector data-reporting experience with startup-style product collaboration—a mix that helps him turn messy, real-world datasets into reliable, deployable systems.
10 years of coding experience
5 years of employment as a software developer
Master of Public Administration (MPA), Concentration in Public Policy Research, Master of Public Administration (MPA), Concentration in Public Policy Research at UNC Chapel Hill
BA, Sociology, Entrepreneurship, Communications, BA, Sociology, Entrepreneurship, Communications at Grove City College
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