Summary
Pushkar Inamdar is a data scientist and applied researcher based in San Francisco with eight years of experience building AI-driven systems and spatial analytics for healthcare, infrastructure, and industry. He holds a PhD in Spatial Sciences and blends geostatistics, remote sensing, and machine learning to turn complex spatial datasets into actionable insights, from mapping health professional shortages to creating geospatial utilities for rural development. At UCSF he applies advanced analytics in production settings, and his industry stint at Walmart Global Tech reflects an ability to translate research into scalable solutions. Known for designing and teaching spatial statistics courses, he combines academic rigor with hands-on engineering to deliver reproducible, impact-focused work. An innovative problem-solver, he often bridges domain expertise and ML tooling to reveal patterns that standard analyses miss.
8 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.) Geoinformatics, Master of Science (M.Sc.) Geoinformatics at SYMBIOSIS INTERNATIONAL UNIVERSITY
Data Science/ Machine Learning, Data Science/ Machine Learning at Galvanize Inc
Doctor of Philosophy - PhD Spatial Sciences (Geo-statistics and Remote Sensing: Earth and Atmospheric Sc.), Doctor of Philosophy - PhD Spatial Sciences (Geo-statistics and Remote Sensing: Earth and Atmospheric Sc.) at Mississippi State University