GEB-model/GEB
Feb 2025 – Dec 2025
9 Months active
Languages Used
TOMLPythonSQLShellYAMLJSONNone
Technical Skills
Build ConfigurationCode QualityDependency ManagementAgent-Based ModelingData AnalysisData Processing
Rafaella Oliveira
PROFILE
Rafaella Oliveira
Rafaella Aglo developed advanced flood risk modeling and warning systems for the GEB-model/GEB repository, focusing on agent-based simulation, geospatial analysis, and robust data engineering. She implemented modular household warning logic, probability mapping, and critical infrastructure alerts using Python, Pandas, and Xarray, enabling granular risk assessment and improved emergency response workflows. Her work included automating CI/CD pipelines, enhancing code quality with type hinting and documentation, and migrating data storage to scalable formats like Zarr. By refining decision logic, integrating ensemble forecasting, and improving data integrity, Rafaella delivered maintainable, high-performance solutions that support reliable risk management and faster stakeholder decision-making.
Overall Statistics
Feature vs Bugs
96%Features
Repository Contributions
42Total
Bugs
1
Commits
42
Features
23
Lines of code
80,970
Activity Months9
Your Network
14 people
Work History
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for GEB-model/GEB. Focused on delivering robust flood modeling features, introducing Households protection status logic, and improving code maintainability to support reliable risk assessment and faster iteration.
3 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for GEB-model/GEB. Focused on delivering robust flood modeling features, introducing Households protection status logic, and improving code maintainability to support reliable risk assessment and faster iteration.
December 2025
November 2025
14 Commits • 5 Features
Nov 1, 2025November 2025 (Month: 2025-11) – Delivered end-to-end enhancements to flood risk forecasting and data management in the GEB model, focusing on reliability, performance, and developer experience. Key outcomes include multiverse-based warning strategy with time-based computations and probability maps, scalable storage via Zarr, improved data modeling with typing and JSON IO readiness for Households, repository hygiene improvements, and extended forecasting capabilities with ensemble sizing and a new elevation data source. These changes increase forecast reliability, enable faster data manipulation, reduce storage costs, and improve maintainability across the GEB workflow.
November 2025
14 Commits • 5 Features
Nov 1, 2025November 2025 (Month: 2025-11) – Delivered end-to-end enhancements to flood risk forecasting and data management in the GEB model, focusing on reliability, performance, and developer experience. Key outcomes include multiverse-based warning strategy with time-based computations and probability maps, scalable storage via Zarr, improved data modeling with typing and JSON IO readiness for Households, repository hygiene improvements, and extended forecasting capabilities with ensemble sizing and a new elevation data source. These changes increase forecast reliability, enable faster data manipulation, reduce storage costs, and improve maintainability across the GEB workflow.
October 2025
10 Commits • 7 Features
Oct 1, 2025October 2025 monthly summary for GEB-model/GEB focused on delivering robust flood risk modeling enhancements, improved emergency decision workflows, and strengthened developer tooling. The work emphasized business value through more accurate risk predictions, faster emergency responses, and a more maintainable codebase.
10 Commits • 7 Features
Oct 1, 2025October 2025 monthly summary for GEB-model/GEB focused on delivering robust flood risk modeling enhancements, improved emergency decision workflows, and strengthened developer tooling. The work emphasized business value through more accurate risk predictions, faster emergency responses, and a more maintainable codebase.
October 2025
September 2025
4 Commits • 3 Features
Sep 1, 2025Monthly Summary — 2025-09 for GEB-model/GEB. Focus: automation, robustness, and improved risk modeling to enable faster, safer releases and better decision-making. Key features delivered: - CI/CD and Documentation Automation: GitHub Actions workflows for building, testing, and deploying documentation; Sphinx integration; automated tests; published to PyPI. Commits: a48771de64624fb54d16c9e785a651941cfa1483. - Households Warning System Enhancements: Refined evacuation/warning logic, improved critical infrastructure handling, postal code associations, and introduced new warning levels/sources to harmonize warning strategies across the Households agent. Commits: 7ff97f40bc85e2e3af2eb4c7a91f9823867722fe; 18e3268259b3210540fa146bcffcb5531a025f62. - Flood Probability Mapping Enhancement via Water Level Ranges: Added a dictionary for water level ranges and measures to strengthen flood probability mapping. Commit: a409b9bd6e4bbff4f3289dcd70018b1f2caadc27. Major bugs fixed: - No major bugs reported this month. Stability improvements delivered through automation and code refinements. Overall impact and accomplishments: - Accelerated release readiness and reduced manual toil via automated CI/CD, docs generation, and PyPI publishing. - Improved safety and consistency of warning strategies across households, aligning infrastructure handling with multiple warning sources and postal-code associations. - Enhanced flood risk assessment capabilities with explicit water-level ranges, enabling more accurate planning and response. Technologies/skills demonstrated: - GitHub Actions, Sphinx, and PyPI publishing for robust CI/CD and documentation workflows. - Python data structures (dicts) for water level ranges and measures. - Domain knowledge in critical infrastructure warning logic and cross-agent coordination. Business value: - More reliable releases and up-to-date documentation. - Faster, clearer warning dissemination reducing response times. - Improved predictive modeling for floods enabling better risk management and resource planning.
September 2025
4 Commits • 3 Features
Sep 1, 2025Monthly Summary — 2025-09 for GEB-model/GEB. Focus: automation, robustness, and improved risk modeling to enable faster, safer releases and better decision-making. Key features delivered: - CI/CD and Documentation Automation: GitHub Actions workflows for building, testing, and deploying documentation; Sphinx integration; automated tests; published to PyPI. Commits: a48771de64624fb54d16c9e785a651941cfa1483. - Households Warning System Enhancements: Refined evacuation/warning logic, improved critical infrastructure handling, postal code associations, and introduced new warning levels/sources to harmonize warning strategies across the Households agent. Commits: 7ff97f40bc85e2e3af2eb4c7a91f9823867722fe; 18e3268259b3210540fa146bcffcb5531a025f62. - Flood Probability Mapping Enhancement via Water Level Ranges: Added a dictionary for water level ranges and measures to strengthen flood probability mapping. Commit: a409b9bd6e4bbff4f3289dcd70018b1f2caadc27. Major bugs fixed: - No major bugs reported this month. Stability improvements delivered through automation and code refinements. Overall impact and accomplishments: - Accelerated release readiness and reduced manual toil via automated CI/CD, docs generation, and PyPI publishing. - Improved safety and consistency of warning strategies across households, aligning infrastructure handling with multiple warning sources and postal-code associations. - Enhanced flood risk assessment capabilities with explicit water-level ranges, enabling more accurate planning and response. Technologies/skills demonstrated: - GitHub Actions, Sphinx, and PyPI publishing for robust CI/CD and documentation workflows. - Python data structures (dicts) for water level ranges and measures. - Domain knowledge in critical infrastructure warning logic and cross-agent coordination. Business value: - More reliable releases and up-to-date documentation. - Faster, clearer warning dissemination reducing response times. - Improved predictive modeling for floods enabling better risk management and resource planning.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 Monthly Summary (GEB-model/GEB) Key deliverables: - Flood Warning Control and Protected State Reset: Implemented a warning response flag to govern household warnings during flood simulations and added logic to reset households' protected state after simulation. Included data cleanup by removing unused columns in buildings_with_households and refactored comments for clarity. Impact and value: - Increases reliability of flood simulations by ensuring correct warning behavior and proper post-simulation state handling, enabling more accurate risk assessment and decision-making. - Improves data quality and downstream analytics through column cleanup, reducing noise and potential misinterpretation. - Enhances maintainability and readability via code comment refactoring. Major bugs fixed: - None reported this month. Technologies/skills demonstrated: - Feature flag implementation, state management, data cleaning, code refactoring, and version control traceability. Top commit: - a752e64dd1030677fa4987e42e3414b3cf711eec
1 Commits • 1 Features
Jul 1, 2025July 2025 Monthly Summary (GEB-model/GEB) Key deliverables: - Flood Warning Control and Protected State Reset: Implemented a warning response flag to govern household warnings during flood simulations and added logic to reset households' protected state after simulation. Included data cleanup by removing unused columns in buildings_with_households and refactored comments for clarity. Impact and value: - Increases reliability of flood simulations by ensuring correct warning behavior and proper post-simulation state handling, enabling more accurate risk assessment and decision-making. - Improves data quality and downstream analytics through column cleanup, reducing noise and potential misinterpretation. - Enhances maintainability and readability via code comment refactoring. Major bugs fixed: - None reported this month. Technologies/skills demonstrated: - Feature flag implementation, state management, data cleaning, code refactoring, and version control traceability. Top commit: - a752e64dd1030677fa4987e42e3414b3cf711eec
July 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for GEB-model/GEB: Focused on delivering advanced flood risk analytics and critical infrastructure warnings. Implemented object-based flood probability maps with ensemble data loading, probability calculation by defined ranges, and saving probability maps to support granular risk assessments. Extended probability mapping to include critical infrastructure, notably energy substations, and added a strategy for issuing warnings based on these probabilities. Refined household location and attribute assignments to improve risk attribution and downstream reporting. This work was driven by two commits: creating an object-based prob map and implementing the critical infrastructure warning strategy. Repositories: GEB-model/GEB.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for GEB-model/GEB: Focused on delivering advanced flood risk analytics and critical infrastructure warnings. Implemented object-based flood probability maps with ensemble data loading, probability calculation by defined ranges, and saving probability maps to support granular risk assessments. Extended probability mapping to include critical infrastructure, notably energy substations, and added a strategy for issuing warnings based on these probabilities. Refined household location and attribute assignments to improve risk attribution and downstream reporting. This work was driven by two commits: creating an object-based prob map and implementing the critical infrastructure warning strategy. Repositories: GEB-model/GEB.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025: Delivered Flood Risk Mapping and Warning Communication for PC-strategy1 in GEB-model/GEB, enabling probability map generation and household warnings. The feature's modular design consolidates warning capabilities for future extension, improving risk assessment accuracy, situational awareness, and community resilience. Implementation included two commits: one for prob maps and warning generation (fbe1e6653b977f9e576ea8a74a9d729b5bc65cf6) and another for refining the warning_communication function (9bc836aea3e57a7e2658a2349da2f416c114aedb).
2 Commits • 1 Features
May 1, 2025May 2025: Delivered Flood Risk Mapping and Warning Communication for PC-strategy1 in GEB-model/GEB, enabling probability map generation and household warnings. The feature's modular design consolidates warning capabilities for future extension, improving risk assessment accuracy, situational awareness, and community resilience. Implementation included two commits: one for prob maps and warning generation (fbe1e6653b977f9e576ea8a74a9d729b5bc65cf6) and another for refining the warning_communication function (9bc836aea3e57a7e2658a2349da2f416c114aedb).
May 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 — GEB-model/GEB: Key features delivered and critical fixes enhancing risk modeling and data integrity. Implemented Household Warning System and Protective Vulnerability Dynamics with initialization refactor and a new warning_reached flag, updating damage curves for protected buildings and integrating the new warning mechanism. Fixed NetCDF4 compatibility by removing the _CRS attribute from precipitation grids prior to processing to ensure proper forcing precipitation data handling. These changes strengthen predictive accuracy, reduce data processing errors, and enable more reliable risk-informed decision-making for stakeholders.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 — GEB-model/GEB: Key features delivered and critical fixes enhancing risk modeling and data integrity. Implemented Household Warning System and Protective Vulnerability Dynamics with initialization refactor and a new warning_reached flag, updating damage curves for protected buildings and integrating the new warning mechanism. Fixed NetCDF4 compatibility by removing the _CRS attribute from precipitation grids prior to processing to ensure proper forcing precipitation data handling. These changes strengthen predictive accuracy, reduce data processing errors, and enable more reliable risk-informed decision-making for stakeholders.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 (GEB-model/GEB): Focused on bolstering code quality, dependency management, and CLI reliability. Delivered tooling for code quality and analytics readiness, and fixed CLI entry point to ensure correct invocation. No major defects recorded this month; groundwork laid for maintainability and future analytics capabilities. Business value: reduced risk, faster onboarding, and smoother future enhancements.
3 Commits • 2 Features
Feb 1, 2025February 2025 (GEB-model/GEB): Focused on bolstering code quality, dependency management, and CLI reliability. Delivered tooling for code quality and analytics readiness, and fixed CLI entry point to ensure correct invocation. No major defects recorded this month; groundwork laid for maintainability and future analytics capabilities. Business value: reduced risk, faster onboarding, and smoother future enhancements.
February 2025
Activity
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Quality Metrics
Correctness88.6%
Maintainability86.6%
Architecture85.6%
Performance81.0%
AI Usage23.8%
Skills & Technologies
Programming Languages
JSONNonePythonSQLShellTOMLYAML
Technical Skills
Agent-Based ModelingBuild ConfigurationCode QualityConfiguration ManagementContinuous IntegrationData AnalysisData EngineeringData ProcessingDependency ManagementDevOpsDocumentationDocumentation GenerationEnsemble ModelingGeopandasGeospatial Analysis
Repositories Contributed To
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