Slalom Build
Taylor Bluth is a Senior Machine Learning Architect at Slalom Build, responsible for designing and delivering end-to-end MLOps solutions for clients while managing cross-team dependencies. Prior to this role, Taylor served as Lead Data Scientist at VisitPay, focusing on predicting behaviors of patients and health systems to enhance the financial experience. Earlier experience includes a position as Data Scientist at Kaiser Permanente, where customized churn risk models were developed for internal use. Educational qualifications include a Nanodegree in Machine Learning Engineering from Udacity, a Master of Science in Data Science from Regis University, and a Bachelor of Applied Science in Health/Medical Psychology from Brigham Young University - Idaho.
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