Summary
Brad Lindblad is a Staff Analytics Engineer with eight years of hands-on experience turning messy data into actionable business outcomes across financial services and retail. He combines econometric rigor and pricing theory with practical machine learning (from logistic regression and random forests to SOMs and neural nets) to drive forecasting, pricing, and marketing improvements. Comfortable coding in R, Python, Julia and SQL and fluent in Excel, he has built production reporting and analytic platforms at banks, Credit Services, and enterprise employers. Brad pairs technical delivery with clear research-style writing and training skills, making complex models understandable to stakeholders. Based in Fargo, ND, he brings a rare blend of financial domain knowledge and applied data science that consistently improves bottom-line decisions.
8 years of coding experience
6 years of employment as a software developer
Master of Business Administration (M.B.A.) Business Administration and Management General, Master of Business Administration (M.B.A.) Business Administration and Management General at North Dakota State University
English, Swedish, Spanish