Tom P. is a Full-Stack Data Scientist with a passion for the entire project lifecycle, focusing on ML Engineering, Analytics, and Applied AI. They are currently pursuing a Master's Degree in Statistics and a Graduate Certificate in Big Data Science at the University of Utah, alongside a Bachelor's Degree in Physics. Previously, Tom led data science initiatives at Google, influencing product strategy in areas such as Sustainability and Health. Their experience includes managing ML infrastructure at Pluralsight and conducting research at Nelson Laboratories and Ceramatec. Tom excels in leveraging advanced AI techniques, particularly Large Language Models, to drive impactful data solutions.
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