Miller Tracy is a Senior Data Scientist in Seattle with 8 years of experience turning ambiguous business challenges into production-ready ML solutions across e-commerce, cloud/HPC, and healthcare. He leads full ML lifecycles—problem scoping, EDA, model training, deployment and monitoring—and recently headed personalization initiatives for a major airline that secured a $1.3M contract extension. His background in clinical neuroscience and quantitative economics informs a stats-first approach to modeling, evident in high-impact projects like a 90%+ multi-label medical coding model and a data-drift service integrated into a private cloud later acquired by AMD. Comfortable optimizing infrastructure as well as algorithms, he has cut peak compute needs 20x and 99th-percentile latency 6x for large-scale systems. A mentor and communicator, Miller bridges technical teams and stakeholders to translate nuanced domain problems into measurable, auditable models.
8 years of coding experience
5 years of employment as a software developer
Post-baccalaureate Biology/Biological Sciences General, Post-baccalaureate Biology/Biological Sciences General at University of Alabama at Birmingham
Certificate in Data Science Data Science, Certificate in Data Science Data Science at Galvanize Inc
The University of Melbourne
Bachelors in Quantitative Economics Economics, Bachelors in Quantitative Economics Economics at Auburn University
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