Jordan Totten is a Machine Learning Specialist at Google with eight years of experience applying data science and ML to large-scale information problems. Trained with an MS in Data Science from Northwestern and a BA in Economics, he blends rigorous statistical thinking with practical engineering—sharpened through consulting roles building ML platforms and data migrations at West Monroe. At Google he focuses on contextual bandit approaches for efficient exploration, pairing research-minded experimentation with production-grade systems. He has taught graduate courses in ML and Deep Learning, reflecting an ability to translate complex concepts for practitioners and students alike. Based in Atlanta, Jordan brings a hybrid background in supply chain analytics and public-sector policy research that informs his pragmatic, metrics-driven approach to ML.
7 years of coding experience
Bachelor of Arts (BA), Economics, Bachelor of Arts (BA), Economics at Georgia Southern University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Northwestern University
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Jordan Totten - Machine Learning Specialist at Google