Summary
Yale Waller is a Senior Data Scientist based in Richmond, Virginia, with eight years of experience building forecasting solutions and specializing in anomaly and outlier detection. At 84.51˚ he leads forecasting Center of Excellence efforts, translating complex time-series problems into operational models that improve business decision-making. His background includes consulting roles where he delivered machine learning and analytics solutions across industries, and earlier work in data science and research that sharpened his experimental rigor. Yale holds an MS in Business Analytics/Data Science from William & Mary and brings a blend of academic training and practical deployment experience, with an uncommon knack for turning statistical nuance into production-ready insights.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Business Administration (BBA), Business Analytics/Data Science, Bachelor of Business Administration (BBA), Business Analytics/Data Science at The College of William and Mary
History, History at University of Potsdam
Masters of Science Business Analytics, Data Science, Masters of Science Business Analytics, Data Science at William & Mary
English, German