Fidan Uz
Principal Group Data Science Manager
Edgewater, New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolFidan Uz is a Principal Group Data Science Manager with 10+ years building end-to-end AI systems at Microsoft, leading Americas-facing teams to deliver co-engineered solutions across manufacturing, retail, energy and automotive industries. She combines deep technical expertise in machine learning, computer vision and mathematical optimization with hands-on deployment experience to turn complex research into production-grade analytics and object-detection solutions. Her background spans academia (PhD in Decision Information Sciences and former assistant professorship) and industry, giving her a rare blend of theoretical rigor and customer-facing product delivery. Known for translating domain-specific constraints into scalable models and optimization pipelines, she excels at aligning technical choices with clear business impact. Based in Edgewater, NJ, she brings both strategic leadership and the practical instincts of a seasoned applied data scientist.
10 years of coding experience
21 years of employment as a software developer
Ph. D Decision Information Sciences, Ph. D Decision Information Sciences at University of Florida - Warrington College of BusinessBachelor of Science (BS) Electrical and Electronics Engineering, Bachelor of Science (BS) Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English
Github Skills (75)
python10
deep-learning10
convolutional-neural-networks10
architecture10
azure10
documentation10
scoring10
pytorch10
microsoft10
machine-learning10
similarity10
cortana9
object-detection9
computer-vision9
image-processing9
Programming languages (6)
Github contributions (5)
microsoft/AKSDeploymentTutorial
Mar 2018 - Feb 2019
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
Contributions:33 commits, 13 PRs, 13 pushes in 10 months
mxnetdeep-learninggpumachine-learningdeep-learning-models
Azure/lstms_for_predictive_maintenance
May 2017 - Jul 2017
Contributions:22 commits, 3 PRs, 2 pushes in 2 months
predictivepredictive-maintenancelstmsmaintenance
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