Daniel Loman is a seasoned Cloud Engineer currently working at Groq since March 2024, with previous experience as a Data Analyst at Definitive Intelligence where solutions for AI platforms and data pipelines were developed. Earlier roles include Data Scientist at Nuvalence, where Daniel collaborated on demo dashboards for blockchain analytics, and Data Science and Engineering Team Lead at Acuitas Health, focusing on clinical data platforms and team management. Additional experience encompasses basketball analytics writing, internship as a Basketball Operations Analyst with the Phoenix Suns, and various data-related positions across healthcare and academic institutions. Daniel holds a Master’s degree in Analytics from the University of San Francisco and a Bachelor’s degree in Physics from Siena College.
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