About

Nathan Sutton is a highly skilled Machine Learning Architect with a pragmatic approach to delivering successful projects from ingestion through to production. With over 9 years of relevant experience, he has a proven track record of collaborating with radiologists to ensure follow-up recommendations never slip through the cracks. Nathan's strong communication skills and publication record in top-tier journals make him an excellent addition to any team looking to implement machine learning solutions in the healthcare industry. Nathan's past experience includes working as a Senior Data Scientist at Innovu, LLC, where he was responsible for transforming pipelines to CI/CD, overhauling actuarial risk scores with machine learning, and translating an outdated entity resolution module into Louvain community detection. He also worked as a Mentor at Springboard, where he graduated sixteen students in the data science career track course. Nathan's education includes a Master of Science degree in Ecology and Evolutionary Biology from the University of Tennessee, Knoxville, and a Bachelor of Arts degree in Environmental Studies with a Hispanic Studies minor from Vassar College. Nathan's tech stack includes expertise in ML, Senior Software Engineering, SQL, AWS, Data Science, Data Engineering, Research Science, Apache Airflow, CI/CD, Python, and Docker. He is a highly skilled professional who is committed to delivering high-quality results, and he is always looking for new challenges to expand his knowledge and expertise.