Navid Jadidoleslam is a Senior Data Scientist in Atlanta with eight years of expertise applying satellite remote sensing to hydrology and operational flood forecasting. He integrates products like SMAP, SMOS, GPM, and MODIS to improve hydrologic process understanding and to augment real-time flood models, bridging research-grade satellite data with operational systems. Holding a Ph.D. in Hydraulic and Water Resources Engineering and advanced degrees from Istanbul Technical University and the University of Iowa, he blends rigorous academic training with hands-on applied science. Navid’s work emphasizes translating complex remote-sensing signals into actionable model inputs, a niche that reduces uncertainty in flood forecasts and informs decision-making under extreme events.
8 years of coding experience
Bachelor's degree, Civil-Water Engineering, Bachelor's degree, Civil-Water Engineering at University of Tabriz
Master's degree, Hyraulic and Water Resources Science, Master's degree, Hyraulic and Water Resources Science at Istanbul Technical University
Doctor of Philosophy (Ph.D.), Hydraulic and Water Resources Engineering, Doctor of Philosophy (Ph.D.), Hydraulic and Water Resources Engineering at University of Iowa
Contributions:5 commits, 5 pushes, 3 branches in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.