Summary
Chris Umphlett is a Manager of Data Analysis with a decade of experience applying machine learning, statistics and econometrics to business problems at TechSmith and prior employers. He builds end-to-end data architectures and automated reporting—most notably creating a Customer Experience Index and automated CX reporting while integrating disparate transactional and survey sources. Proficient in SAS, R, SQL Server and DB2, he routinely implements anomaly detection, forecasting (UCM and exponential smoothing), text mining and classification models to improve operations and call center forecasting. Chris pairs technical depth with practical cost-saving instincts, having avoided a $25k vendor spend by engineering an in-house workaround and mentoring interns on best practices for data quality. He combines a Master’s in Economics with hands-on simulation and forecasting work, bringing a behavioral-economics lens to data-driven decision science.
10 years of coding experience
1 year of employment as a software developer
Master’s Degree, Economics, Master’s Degree, Economics at Central Michigan University
BS of Business Administration, BS of Business Administration at University of North Carolina at Chapel Hill
English