Shivani Pathak
Product Engineer-II at Esri
Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolShivani Pathak is a Product Engineer-II with six years of hands-on experience building GeoAI and remote sensing solutions, currently shaping developer-facing content and automation for Esri’s ArcGIS Python ecosystem. She combines strong Python and ESRI product expertise with advanced remote sensing and deep learning workflows to deliver practical applications—ranging from snow-avalanche and flood mapping to land cover and swimming-pool detection using satellite and hyperspectral data. At Esri she authors sample notebooks, blogs, and automated tests for GeoAI tools and pretrained models, bridging research techniques with production-quality developer resources. Her background includes hydrological and drought studies at ISRO and TERI, giving her domain depth in environmental modeling as well as operational mapping experience from HERE Maps. Notably, she contributes to the widely used arcgis-python-api samples, improving real-world notebooks that help practitioners adopt AI-driven geospatial analysis.
6 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology MadrasUniversity of DelhiMaster of Science - MS, Geoinformatics, 8.4 CGPA, Master of Science - MS, Geoinformatics, 8.4 CGPA at TERI School of Advanced Studies
Github Skills (13)
machine-learning10
arcgis10
spatial-data-analysis10
python10
jupyter10
data-science10
computer-vision9
jupyter-notebook9
deep-learning9
pandas8
tensorflow7
scikit-learn6
scikit6
Programming languages (1)
Github contributions (2)
Esri/arcgis-python-api
Feb 2020 - Jul 2021
Documentation and samples for ArcGIS API for Python
Role in this project:
Data Scientist
Data ScientistContributions:44 reviews, 8 commits, 134 PRs in 1 year 4 months
Contributions summary:Shivani primarily contributed to the development and enhancement of sample notebooks focused on data science applications within the ArcGIS API for Python. Their work included improvements to a snow avalanche hazard mapping notebook, enhancements to a "Safe streets to schools" sample, and significant updates to notebooks related to detecting swimming pools using satellite imagery and deep learning, and land cover classification using hyperspectral data. The user's contributions involved code modifications and content updates to multiple sample notebooks showcasing various data analysis and machine learning techniques.
apiarcgispythonjupyterlab-extensiondata-science
shivanip32/arcgis-python-api
Dec 2019 - Jan 2024
Contributions:159 pushes, 119 branches in 4 years 2 months
apipythonarcgisarcgis-api
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