Soumya Dash is a GeoAI-focused Data Scientist with 5 years of experience building deep learning workflows and production-ready tools that fuse satellite imagery, location data and ML for applications like super-resolution, time-series analysis, segmentation and climate forecasting. At Esri’s AI R&D Center he integrates state-of-the-art architectures and foundational models into geospatial software, and contributes to high-profile open-source docs—authoring guides for Pix2Pix and WNet_cGAN in the ArcGIS Python API. His research background includes generative-model-based urban surface and 3D structure simulation at IIT Kharagpur, and he has a track record of prize-winning hackathon work on satellite data. Comfortable across cloud ETL, Earth observation algorithms, and model deployment, he brings both academic rigor and hands-on product engineering to GeoAI problems.
5 years of coding experience
3 years of employment as a software developer
Integrated M.Tech Geoinformatics, Integrated M.Tech Geoinformatics at Central University of Jharkhand
Master of Science - MS Data Science , Master of Science - MS Data Science at Liverpool John Moores University
Visiting Student Machine learning, Visiting Student Machine learning at Indian Institute of Technology, Kharagpur
Documentation and samples for ArcGIS API for Python
Role in this project:
Full-stack Developer
Contributions:7 reviews, 14 commits, 22 PRs in 2 years 1 month
Contributions summary:Soumya primarily contributed to the documentation and guide sections of the repository, specifically focusing on deep learning models within the ArcGIS API for Python. Their contributions included guides on the `Pix2Pix` and `WNet_cGAN` models. Further, they fixed a bad link in a sample notebook, and made several updates to the documentation including multi-dimensional information.
Documentation and samples for ArcGIS API for Python
Contributions:82 pushes, 25 branches in 4 years 2 months
apidata-managementpythonarcgisarcgis-api
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