Brandon Allen is a Senior Data Scientist with 8 years of experience applying causal inference, ML engineering, and prompt engineering to improve product accuracy and evaluation—most recently focusing on LLM evaluation for Alexa Audio at Amazon. He has built end-to-end ML pipelines on AWS (SageMaker, S3, Lambda, Redshift), designed evaluation frameworks for generative models using zero-/few-shot and chain-/tree-of-thought prompting, and measured outcomes with rigorous metrics like coherence, factuality, and informativeness. His background spans high-impact analytics and operations at AWS and the University of Chicago, where he translated complex statistical methods (DoubleML, DiD, MICE) into business decisions and KPI automation. Brandon combines an MBA with deep technical fluency, and although much of his code lives in private repos, he brings a pragmatic mix of research-grade evaluation and production engineering to voice AI and ML products.
8 years of coding experience
7 years of employment as a software developer
Master of Business Administration - MBA Concentrations in Economics Behavioral Science Business Analytics Marketing Management, Master of Business Administration - MBA Concentrations in Economics Behavioral Science Business Analytics Marketing Management at The University of Chicago Booth School of Business
B.M. magna cum laude Performing Arts Management Business Administration Minor, B.M. magna cum laude Performing Arts Management Business Administration Minor at DePaul University
Certificate Business Analytics, Certificate Business Analytics at Northwestern University
Contributions:40 pushes, 1 branch in 1 year 10 months
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Brandon Allen - Senior Data Scientist - Alexa Audio