Drew specializes in mathematical modeling, data analysis, database design, and simulation modeling. His preferred platforms for economic and data analysis include Python, Stata, and SQL. He uses these skills to compile big data from the various U.S. Postal Service payment systems, understands the nuances of these systems, and produces meaningful reports and results used by Postal management to make pricing and strategy decisions. Drew designed and maintains a large database of mailer negotiated service agreements (NSAs) which includes customer, pricing element, product, time period, and SKU that fulfills regulatory reporting requirements and informs management of trends and contract underperformance.
Outside of work, Drew enjoys running, traveling, and cheering on Wisconsin sports teams.
