WFP-VAM/prism-app
Jan 2025 – Apr 2025
2 Months active
Languages Used
JavaScriptPythonShellTypeScriptyaml
Technical Skills
API IntegrationBackend DevelopmentChart.jsConcurrencyData VisualizationDocker
Chris Lowrie
PROFILE
Chris Lowrie
Lowrie contributed to the WFP-VAM/prism-app by building end-to-end flood forecast data integration and visualization features, focusing on Cambodia and Mozambique. Leveraging Python, TypeScript, and React, Lowrie implemented a robust data pipeline that fetches and processes flood prediction data from the Google Floods API, supporting concurrent retrieval and resilient error handling. The work included developing backend logic with FastAPI and Docker, as well as frontend components using Chart.js for historical and future flood visualizations. By adding new geospatial data layers and inundation maps, Lowrie enhanced the app’s ability to support data-driven flood risk analysis and situational awareness for targeted regions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
98,551
Activity Months2
Your Network
55 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 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.
1 Commits • 1 Features
Apr 1, 2025April 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
January 2025
1 Commits • 1 Features
Jan 1, 2025January 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
1 Commits • 1 Features
Jan 1, 2025January 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.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
JavaScriptPythonShellTypeScriptyaml
Technical Skills
API IntegrationBackend DevelopmentChart.jsConcurrencyData VisualizationDockerError HandlingFastAPIFrontend DevelopmentGeospatial AnalysisReactTesting
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