AJ Sager is a business analyst with a strong foundation in applied econometrics, predictive modeling, and financial analysis. He holds a Master of Science in Business Analytics from the University of California, Irvine, where he graduated with honors, and a Bachelor’s degree in Quantitative Economics, also from UC Irvine.

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AJ is proficient in Python, R, SQL, with experience building forecasting models and machine learning pipelines in client-facing environments. His work spans financial planning, housing market forecasting, and sports analytics. He is particularly skilled at producing clear, well-structured written reports and presentations that translate complex quantitative findings into concise, defensible insights for stakeholders.

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Outside of work, AJ is a former Division I track and cross-country athlete, an experience that informs his disciplined, team-oriented approach to problem solving.