12 / Data Science / Dec 2025
Sumatra Flood Risk Analysis
Spatial and analytical project for identifying flood risk patterns and communicating insights clearly.
01
Overview
A spatial analytics project that studies flood-risk patterns across Sumatra and presents the findings through an accessible Streamlit interface.
02
Challenge
Flood-risk insight needs to be both analytical and communicable.
03
Outcome
The result is a practical data science case study that connects spatial modeling with public-facing insight communication.
Project background
Why this project exists
Sumatra Flood Risk Analysis is an applied data science project where communication matters as much as modeling. Flood-risk analysis can easily become technical, so the project focuses on presenting spatial patterns through an interface people can explore.
The work is related to environmental analytics and public-facing insight. It asks how risk signals can be made readable while still preserving enough context for the analysis to feel responsible.
Build notes
How it was shaped
Prepared geographic and analytical features for flood-risk exploration.
Used Python analysis and Streamlit presentation to keep the workflow transparent.
Organized outputs around interpretation, not just raw map rendering.