Juber Rahman is a Data Science Manager with nine years of experience building and scaling enterprise AI and analytics solutions across logistics and retail. He has progressed from engineering roles in power systems and academic machine learning research to leadership positions at FedEx and now Murphy USA, blending hands-on modeling with operational deployment. His background includes a Ph.D. in Electrical and Computer Engineering and applied research stints at Samsung Research America, reflecting a strong foundation in embedded systems and prototyping. Juber is comfortable translating complex research into production-grade ML systems for large-scale commerce and supply-chain contexts. Based in Tennessee, he pairs technical depth with cross-functional leadership, often surfacing research-driven innovations that drive measurable business impact.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at University of Memphis
Deep Learning Nanodegree Data Science, Deep Learning Nanodegree Data Science at Udacity
HSC Science, HSC Science at Notre Dame College
Bachelor of Science (B.Sc.) Electrical and Electronics Engineering, Bachelor of Science (B.Sc.) Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
Repository for the Machine Learning for Smart Health System course offered by Dr. Juber Rahman at Omdena School platform. Join the course here https://omdena.com/omdena-school/
Contributions:71 commits, 40 PRs, 72 pushes in 1 month
Contributions:160 commits, 144 pushes, 1 branch in 1 year 10 months
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