Nathan Rayens, PhD, is an Engineering Manager and Senior Consultant with a focus on full-stack data science and machine learning to solve complex problems. Currently, they support various clients in projects related to platform development, fraud detection, and entity resolution. Previously, Nathan completed their doctorate at Duke University, where they researched biophysical dynamics of intracellular transport using confocal tracking microscopy. They also hold degrees in Manufacturing Engineering, Mechanical Engineering, and Piano Performance from Miami University, showcasing a diverse skill set that blends engineering and the arts.
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