Jay Urbain
Data Scientist
Milwaukee, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolJay Urbain is a data scientist and consultant with over a decade of experience translating machine learning, NLP, search, and data engineering research into production-ready systems for industrial and academic partners. He runs Upstream Development LLC and brings a rare blend of applied consulting and formal teaching, having been a CS professor at the Milwaukee School of Engineering and an adjunct at the Medical College of Wisconsin. His background spans R&D leadership in medical device firms, medical data mining, and long-standing work in information retrieval and data warehousing, giving him deep domain knowledge in healthcare and enterprise data. Jay holds a PhD in Computer Science and an MBA, pairing rigorous technical research with business and product insight. Colleagues value his ability to move projects from prototype to deployment while also designing curricula that demystify complex AI topics. Based in Milwaukee, he combines academic credibility with practical engineering discipline to solve measurable problems for clients.
11 years of coding experience
28 years of employment as a software developer
MBA, Business, MBA, Business at University of Wisconsin-MadisonBSE, Electrical Engineering and Computer Science, BSE, Electrical Engineering and Computer Science at University of Illinois at ChicagoMSEE, Computer Engineering, MSEE, Computer Engineering at Illinois Institute of Technology
Stackoverflow
429reputation
22kreached
4answers
8questions
Github Skills (159)
optical-flow10
synthetic-data9
python9
simulation9
ddp9
image-registration9
unsupervised-learning9
graphical-models8
autoencoder8
causal-discovery8
public-transport8
machine-learning8
image-recognition8
word-embeddings8
question-answering8
Programming languages (7)
Github contributions (5)
jayurbain/artificial-intelligence
Aug 2018 - May 2019
Contributions:53 commits, 44 pushes, 1 branch in 8 months
jayurbain/machine-learning
Mar 2016 - Mar 2020
Machine learning course materials
Contributions:144 commits, 2 PRs, 104 pushes in 4 years 1 month
machine-learning
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