Casey Whorton

Casey Whorton is an accomplished ML Ops Engineer with extensive experience in designing and implementing data-driven solutions. Currently at Outcomes™, Casey has developed an automated SLA dashboard, streamlined ML model migration to Sagemaker Pipelines, and reduced production ML model runtime by 97%, significantly enhancing operational efficiency. Previously at Cardinal Health, Casey led a team in automating data pipelines and fostering an effective ML onboarding process. Additionally, experience as a Data Scientist at FCA Fiat Chrysler Automobiles and Owens Corning involved creating ML models, conducting data analysis, and driving process improvements that yielded significant savings. Academic roles at The University of Toledo and Bowling Green State University included teaching statistical inference and machine learning principles. Educational qualifications encompass a Master of Science in Applied Statistics and Operations Research, a Bachelor's in Mathematics, and multiple nanodegrees in data engineering and AI product management from Udacity.