Aleksandar Velkoski is a Senior Manager of Online Data Science at The Home Depot with a decade of experience applying AI and data to improve search relevance, ranking, and customer experience. He has driven P&L impact through enterprise data initiatives across retail and real estate, previously leading data science and engineering efforts at the National Association of REALTORS®. An active educator and mentor, he serves as an adjunct professor and Distinguished Faculty Fellow at DePaul University, bridging academic research with industry practice. Aleksandar’s background includes founding a marketing analytics group and early technical roles at Daimler, giving him uncommon depth in both quantitative modeling and operationalizing analytics at scale. He combines business-focused leadership with hands-on expertise in AI/ML, data governance, and integrations, and is known for translating complex models into measurable business outcomes. Based in Clarkston, Michigan, he pairs executive training from Wharton with doctoral-level economics study to inform data-driven strategy.
10 years of coding experience
10 years of employment as a software developer
Doctor of Business Administration, Economics, Doctor of Business Administration, Economics at Lawrence Technological University
Executive Education, Wharton Marketing Metrics, Executive Education, Wharton Marketing Metrics at University of Pennsylvania
Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
Contributions:18 commits, 3 PRs, 14 pushes in 2 years 11 months
apidata-apipythoneconomicfederal-reserve-bank
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Aleksandar Velkoski - Senior Manager, Online Data Science