Supratim Banik - Researcher at London

Supratim Banik

Researcher at London

London, England, United Kingdom

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Supratim Banik is a geospatial researcher and product engineer based in London with six years of professional experience applying GeoAI, spatial statistics, and agent-based modeling to urban planning and smart cities. He has blended academic training from UCL, UPenn and IIT Kharagpur with product work at Esri, where he contributed data science notebooks for the widely used ArcGIS Python API and led spatial analyses such as NYC Airbnb growth and temperature forecasting. Comfortable across R, Python, JavaScript and GIS stacks (ArcGIS, QGIS, Leaflet), he builds end-to-end workflows from data ingestion and privacy-conscious PII handling to model development and visualization. His background spans consultancy for public agencies and research fellowships, giving him a pragmatic sense of policy and deployment constraints in city-scale projects. Notably, he pairs classical spatial interaction and network modeling with modern computer vision and LLM toolchains to create actionable insights for urban decision-making.

6 years of coding experience

7 years of employment as a software developer

MS Spatial Analytics, MS Spatial Analytics at University of Pennsylvania

B.Arch Architecture, B.Arch Architecture at Jadavpur University

MCP City Planning, MCP City Planning at Indian Institute of Technology, Kharagpur

University College London

Github Skills (14)

pandas10

machine-learning10

time-series10

arcgis10

python10

jupyter10

data-science10

data-analysis10

data-visualisation9

data-visualization9

spatial-data-analysis9

data-visualizations9

scikit8

scikit-learn8

Programming languages (1)

Python

Github contributions (2)

Esri/arcgis-python-api

Oct 2019 - Jul 2021

Documentation and samples for ArcGIS API for Python

Role in this project:

Data Scientist

Contributions:34 reviews, 5 commits, 32 PRs in 1 year 10 months

Contributions summary:Supratim handled PII (Personally Identifiable Information) across multiple commits. The primary focus of the user's work involved analyzing Airbnb properties, specifically in New York City, and identifying factors influencing their growth and spatial distribution. This included data analysis, model building, and result visualization using Jupyter notebooks. The user also worked on a temperature forecast using time series data.

apiarcgispythonjupyterlab-extensiondata-science

moonlanderr/arcgis-python-api

Aug 2019 - Feb 2025

Documentation and samples for ArcGIS API for Python

Contributions:80 pushes, 21 branches in 5 years 7 months

apipythonarcgisarcgis-apiesri

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial