Manushi Majumdar is a Product Engineer specializing in applied data science and the ArcGIS API for Python, bringing a decade of experience in geospatial analysis, API development, and data-driven prototyping. At Esri she authors Jupyter notebooks, user guides, and maintains the hub submodule while also driving testing, release scrums, and developer-facing tooling. Her background blends urban informatics (MS, NYU) with hands-on work in social network and text analysis, enabling practical analytics for ArcGIS Hub and open-source hub-py. Previously she progressed from QA and automation testing to GIS consulting and data engineering, giving her a strong foundation in product quality and reproducible research. Colleagues rely on her for translating complex spatial analyses into accessible notebooks and reusable API components that accelerate adoption across the GIS community.
10 years of coding experience
6 years of employment as a software developer
Masters in Urban Informatics, Applied Data Science, Masters in Urban Informatics, Applied Data Science at New York University
Documentation and samples for ArcGIS API for Python
Contributions:6 PRs, 83 pushes, 93 branches in 2 years 1 month
apipythonarcgisarcgis-api
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Manushi Majumdar - Product Engineer - Applied Data Science (ArcGIS API For Python)