Deepak Shah
Research Assistant at Kentucky Transportation Center - University of Kentucky
Lexington, Kentucky, United States
Summary
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Senior🎓
Top SchoolDeepak Shah is a transportation researcher and PhD candidate in Civil Engineering at the University of Kentucky with nine years of experience applying statistical analysis and machine learning to roadway safety and resiliency. He develops Safety Performance Functions and analyzes speed-related crash frequency using Python and R, while pairing hands-on transportation modeling in TransCAD and VISSIM with design tools like AutoCAD and SketchUp. A strong advocate for walkable cities and complete streets, he bridges data-driven research with practical engineering from internships and fieldwork in Nepal and the U.S. Deepak also codes as a machine and deep learning/full‑stack developer in his spare time, bringing a software-first mindset to transportation problems and seeking a Summer 2025 internship to scale his impact.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Civil Engineering, Doctor of Philosophy - PhD, Civil Engineering at University of KentuckyMaster of Science, Transportation Engineering, 85.73% (1st in Class), Master of Science, Transportation Engineering, 85.73% (1st in Class) at Tribhuvan University, IOE, Pulchowk CampusBachelor of Engineering - BE, Civil Engineering, Bachelor of Engineering - BE, Civil Engineering at Kathmandu Engineering College
Nepali, Hindi, Maithili, English, UrduProgramming languages (1)
Github contributions (5)
Dvshah13/Machine-and-Deep-Learning-Code-Notes
Mar 2017 - May 2017
Contributions:175 commits, 161 pushes, 1 branch in 1 month
DigitalCrafts-HTX-11-2016-Cohort/DataSoap
Jan 2017 - Jan 2017
Contributions:87 commits, 82 pushes, 1 branch in 10 days
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