
Worked on WFP-VAM/prism-app to deliver end-to-end flood forecast data integration and visualization, focusing on Cambodia and Mozambique. Built a robust data pipeline using Python and TypeScript, integrating Google Floods API for both historical and forward-looking flood predictions. Developed backend concurrency and error handling to ensure reliable data retrieval, and implemented frontend components in React and Chart.js for interactive flood visualizations. Enhanced the app with geospatial analysis features, including new inundation map layers for Mozambique, supporting improved situational awareness. Emphasized thorough testing and documentation, laying the foundation for phased regional rollouts and data-driven decision making in flood risk management.
April 2025: Focused on delivering geospatial flood visualization improvements for WFP-VAM/prism-app. Added Inundation Maps for Mozambique by integrating Google Floods data, introducing new data layers and logic to support enhanced flood analysis. This work improves situational awareness and data-driven decision making for flood risk management in Mozambique.
April 2025: Focused on delivering geospatial flood visualization improvements for WFP-VAM/prism-app. Added Inundation Maps for Mozambique by integrating Google Floods data, introducing new data layers and logic to support enhanced flood analysis. This work improves situational awareness and data-driven decision making for flood risk management in Mozambique.
January 2025 (2025-01): End-to-end Flood Forecast Data Integration and Visualization in prism-app, delivering a new data pipeline from Google Floods API to UI visualizations, with robust error handling, concurrency, and test coverage. Focused on Cambodia data flow as Part 1 of a phased rollout.
January 2025 (2025-01): End-to-end Flood Forecast Data Integration and Visualization in prism-app, delivering a new data pipeline from Google Floods API to UI visualizations, with robust error handling, concurrency, and test coverage. Focused on Cambodia data flow as Part 1 of a phased rollout.

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