Gaurav Bhardwaj

Data Scientist

Washington, District of Columbia, United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job9 years of employment as a software developer
bookAISSCE Science, AISSCE Science at Mayoor School
bookMaster of Science - MS Applied Urban Science & Informatics, Master of Science - MS Applied Urban Science & Informatics at New York University
bookLondon School of Economics and Political Science
bookBachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at Guru Gobind Singh Indraprastha University
languagesSpanish, Hindi, English
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Github Skills (16)

jupyter-notebook8
python7
single-file3
open-data3
r-package3
tuple2
gis2
bash1
metadata1
libgit21
socrata1
validation1
geodata1
git-repository1
pandas1

Programming languages (3)

RJupyter NotebookPython

Github contributions (5)

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gauravcusp/DECDG

May 2020 - Feb 2022

Contributions:9 commits, 10 pushes, 1 branch in 1 year 9 months
worldbank/DDH2

Sep 2020 - May 2024

Contributions:17 pushes, 1 branch in 3 years 8 months
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