Aaron Sant-Miller is a lead data scientist at Booz Allen Hamilton, where he specializes in applied mathematics, machine learning, and statistical modeling. He has architected, developed, and deployed data science solutions and machine learning suites across a wide range of domains, including tax fraud detection, climate science trend forecasting, cybersecurity risk scoring, and professional athlete performance prediction. Aaron’s current areas of research are focused on Bayesian modeling design, synthetic data generation, and optimized algorithm training design. He holds a BS and an MS in applied and computational mathematics and statistics from the University of Notre Dame.
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