Jordan Totten

Machine Learning Specialist at Google

Atlanta, Georgia, United States
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Summary

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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.
code8 years of coding experience
bookBachelor of Arts (BA), Economics, Bachelor of Arts (BA), Economics at Georgia Southern University
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Northwestern University
languagesEnglish, Chinese
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Github Skills (64)

ai-agent10
agentic10
multi-agent10
llm10
agent10
ai10
code-first10
agentic-ai10
genai10
python9
data-export9
spotify9
data-augmentation9
xla8
data-import8

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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Building two tower models with Spotify data in GCP
Contributions:67 commits, 126 pushes, 1 branch in 7 months
gcpspotify
Contributions:106 pushes, 1 branch in 2 years
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