gem/oq-engine
Jan 2025 – Feb 2025
2 Months active
Languages Used
C++PythonRSTSQLCSV
Technical Skills
Backend DevelopmentData ModelingDocumentationGeotechnical EngineeringLandslide ModelingNumerical Modeling
Mara Mita
PROFILE
Mara Mita
Mara Mita enhanced the gem/oq-engine repository by developing and integrating multiple landslide hazard models, expanding the system’s predictive capabilities for geotechnical risk analysis. She refactored the site data model to support new parameters and improved merge logic, ensuring robust data handling and future extensibility. Using Python and SQL, Mara reorganized the landslide modeling codebase, updated configuration management, and extended unit and integration tests to validate new features. She also improved data clarity in CSV test files and removed deprecated modules, reducing technical debt. Her work demonstrated depth in backend development, data modeling, and code maintenance within a scientific software context.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
13Total
Bugs
2
Commits
13
Features
3
Lines of code
12,630
Activity Months2
Your Network
42 peopleSame Organization
@globalquakemodel.org13
Work History
February 2025
8 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for gem/oq-engine: Delivered Landslide Modeling Enhancements with new models (including Jibson’s and Fotopoulou-Pitilakis models), reorganized landslide codebase, updated configuration to reflect the new models, and extended the test suite to validate the changes. Improved data clarity in dmg.csv through column renaming, without altering numerical values. Performed code maintenance by removing deprecated components and unused imports to reduce technical debt. These actions delivered stronger modeling fidelity, clearer data governance, and a cleaner, more maintainable codebase. Technologies demonstrated include Python development, unit/integration testing, modular refactors, configuration management, and version-control hygiene.
8 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for gem/oq-engine: Delivered Landslide Modeling Enhancements with new models (including Jibson’s and Fotopoulou-Pitilakis models), reorganized landslide codebase, updated configuration to reflect the new models, and extended the test suite to validate the changes. Improved data clarity in dmg.csv through column renaming, without altering numerical values. Performed code maintenance by removing deprecated components and unused imports to reduce technical debt. These actions delivered stronger modeling fidelity, clearer data governance, and a cleaner, more maintainable codebase. Technologies demonstrated include Python development, unit/integration testing, modular refactors, configuration management, and version-control hygiene.
February 2025
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 (gem/oq-engine): Delivered core enhancements to predictive hazard modeling with a focus on landslide risk and site data integrity. Implemented multiple landslide hazard models, expanded the site model with new parameters and merge logic, and improved test coverage and documentation to support robust deployment and future feature work.
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 (gem/oq-engine): Delivered core enhancements to predictive hazard modeling with a focus on landslide risk and site data integrity. Implemented multiple landslide hazard models, expanded the site model with new parameters and merge logic, and improved test coverage and documentation to support robust deployment and future feature work.
Activity
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Quality Metrics
Correctness93.0%
Maintainability94.0%
Architecture93.2%
Performance87.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CSVPythonRSTSQL
Technical Skills
Backend DevelopmentCode CleanupCode RefactoringCode RemovalData FormattingData ManagementData ModelingDebuggingDocumentationGeotechnical EngineeringLandslide ModelingNumerical AnalysisNumerical ModelingPythonPython Development
Repositories Contributed To
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