Austin Keller is the Director of Data Science at IntelliDyne, where he leads the company’s analytics and machine learning practice, driving the development of advanced data solutions for both government and commercial clients. With over a decade of experience spanning technology, manufacturing, and healthcare, Austin specializes in transforming complex, high-volume data into actionable insights and scalable decision-support tools.
At IntelliDyne, Austin has designed and delivered custom web applications integrating GIS, machine learning, and automation to support large-scale operational decision-making. His work includes developing secure generative AI applications, analytics platforms for U.S. Military vessel automation with significant projected labor savings, and machine learning models recognized nationally through the Veterans Affairs (VA)-sponsored Mission Daybreak competition focused on veteran suicide prevention. He also supports business development efforts by translating complex technical capabilities into practical, mission-aligned solutions. Earlier in his career, he led data-driven quality and process improvement initiatives at global manufacturing and technology companies, delivering multimillion-dollar cost savings through advanced modeling and automation.
Austin is a recipient of the IntelliDyne CEO Award and holds multiple professional certifications in AI, cloud engineering, and data analytics. He brings a unique blend of engineering rigor, analytical depth, and leadership experience to every role, with a focus on building sustainable, high-impact analytics capabilities. He holds a Master’s degree in Computational Analytics from the Georgia Institute of Technology and a Bachelor’s degree in Chemical Engineering from Texas A&M University. His technical expertise includes Python-based data science and machine learning, geospatial analytics, cloud-based AI solutions, and full-stack analytical application development.
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