Summary
Gaurav Bhardwaj is a geospatial data scientist at the World Bank with eight years of experience building machine learning and GIS-driven tools for climate resilience, disaster management, and urban analytics. An NYU CUSP graduate, he has delivered end-to-end remote sensing and spatial-data pipelines that assess sea level rise impacts, accessibility in growing cities, and disaster-affected areas for small island states. His background spans applied ML, NLP, and forecasting models across public sector and media-focused prototypes, plus hands-on engineering in Python, PostGIS, and cloud APIs. At the World Bank he has scaled open-data platforms and curated official datasets to enable analytical decision-making across teams. Beyond technical delivery, he blends urban economics training from LSE with product instincts developed in media/VR startup work, allowing him to turn complex spatial data into actionable, communicable insights.
8 years of coding experience
9 years of employment as a software developer
AISSCE Science, AISSCE Science at Mayoor School
Master of Science - MS Applied Urban Science & Informatics, Master of Science - MS Applied Urban Science & Informatics at New York University
London School of Economics and Political Science
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at Guru Gobind Singh Indraprastha University
Spanish, Hindi, English