Divyakant Tahlyan is a data scientist and PhD candidate (now postdoctoral-trained) in Northwestern University's Transportation Systems Analysis and Planning program with a decade of experience applying machine learning and econometric methods to transportation problems. He combines academic rigor from Northwestern and earlier training at University of South Florida and IIT (BHU) with practical research delivered as a graduate research assistant and postdoctoral scholar at Northwestern and now as a data scientist at Echo Global Logistics. His work focuses on turning large-scale mobility and logistics data into actionable models for planning and operations, bridging theory and deployable solutions. Notably, he has persisted in transportation analytics across academia and industry, evidencing an ability to translate complex models into operational impact for freight and transit systems.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Civil Engineering, Master's degree, Civil Engineering at University of South Florida
Doctor of Philosophy - PhD, Civil Engineering, Doctor of Philosophy - PhD, Civil Engineering at Northwestern University
Bachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
Contributions:84 commits, 2 PRs, 88 pushes in 4 years 6 months
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