Summary
Aaron Trefler is a Senior Data Scientist in the Los Angeles area with 11 years of experience delivering end-to-end machine learning solutions that drive measurable business outcomes. He has built and productionized recommendation and LTV-based personalization systems at scale, deployed real-time models on SageMaker, and re-factored ML pipelines using Spark/EMR to improve reliability and monitoring. His background spans nonprofit, media, and enterprise settings—from improving subscription conversion and targeted marketing to creating fraud- and success-prediction systems—combining strong feature engineering, model selection (XGBoost, scikit-learn) and data engineering skills. Aaron’s academic training in AI (MS, UCSD) and cognitive science (UCLA) informs a disciplined experimental approach rooted in statistics and reproducibility, and he has a track record of communicating technical insights to stakeholders and publishing research earlier in his career.
11 years of coding experience
7 years of employment as a software developer
University of California San Diego
Undergraduate Coursework, Math, Science, and Computer Science, 3.92, Undergraduate Coursework, Math, Science, and Computer Science, 3.92 at West Los Angeles College
Undergraduate Coursework, Computer Science, 4.0, Undergraduate Coursework, Computer Science, 4.0 at Los Angeles City College
Postbaccalaureate Coursework, Computer Science, 4.0, Postbaccalaureate Coursework, Computer Science, 4.0 at California State University-Los Angeles
Data Science, Data Science at MOOCs
University of California, Los Angeles