
Dakota turns business goals into complete technical solutions. His work spans data platforms, cloud infrastructure, and software engineering.
He began his career in the energy industry, spending five years applying data science to improve operational performance. Later, at Oak Ridge National Laboratory, he led data and software engineering for a National Cancer Institute collaboration using AI to speed up national cancer reporting, taking deep learning models from research into production.
After solving problems in industry, Dakota transitioned into consulting by serving as the lead data architect for multiple high-performing companies, spanning consumer goods and services, healthcare, real estate investment, and transportation.
Outside of work, Dakota and his wife spend most of their free time raising their young son in Dallas, Texas.
BS, Chemical Engineering, Oklahoma State University; MS, Computer Science, Vanderbilt University