flipoyo/MOLONARI1D
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
Code RefactoringData AnalysisData VisualizationDocumentationHydrogeology ModelingJupyter Notebooks
StevenHurJim
PROFILE
Stevenhurjim
Jordy Hurtado worked on the MOLONARI1D repository, delivering new heat source modeling capabilities and enhancing data visualization for geological column simulations. He integrated a heat source parameter into core modules and updated plots to display results in Celsius, improving interpretability for users. Jordy refactored core Python code to clarify configuration and modularize numerical methods, supporting more robust simulations of coupled heat and water flow. He also addressed stability issues in initialization routines, reducing the risk of calculation errors. His work demonstrated strong skills in scientific computing, numerical analysis, and object-oriented programming, resulting in a cleaner, more maintainable codebase.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
2
Lines of code
2,590
Activity Months1
Your Network
47 people
Work History
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 — Key features delivered, bugs fixed, and core stability improvements in the MOLONARI1D project, with focused efforts to expand modeling capability, improve numerical methods, and enhance maintainability. Key features were integrated into core modules and demos, with visualization updated to Celsius and documentation refreshed to reflect heat source functionality. Core refactoring and numerical method enhancements improved clarity and modularity, enabling more robust simulations of heat and water flow in geological columns. Stability fixes addressed critical calculation issues in T_stratified and Column initialization, reducing risk of incorrect IDs and cell counts during initialization. Overall impact includes expanded modeling capabilities, more reliable and interpretable simulations, and a cleaner codebase that supports faster onboarding and future feature work. Technologies demonstrated include Python refactoring, numerical methods for coupled heat/water transport, data visualization updates, and proactive documentation practices, all contributing to increased business value through enhanced capability and maintainability.
9 Commits • 2 Features
Nov 1, 2024November 2024 — Key features delivered, bugs fixed, and core stability improvements in the MOLONARI1D project, with focused efforts to expand modeling capability, improve numerical methods, and enhance maintainability. Key features were integrated into core modules and demos, with visualization updated to Celsius and documentation refreshed to reflect heat source functionality. Core refactoring and numerical method enhancements improved clarity and modularity, enabling more robust simulations of heat and water flow in geological columns. Stability fixes addressed critical calculation issues in T_stratified and Column initialization, reducing risk of incorrect IDs and cell counts during initialization. Overall impact includes expanded modeling capabilities, more reliable and interpretable simulations, and a cleaner codebase that supports faster onboarding and future feature work. Technologies demonstrated include Python refactoring, numerical methods for coupled heat/water transport, data visualization updates, and proactive documentation practices, all contributing to increased business value through enhanced capability and maintainability.
November 2024
Activity
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Quality Metrics
Correctness85.6%
Maintainability85.6%
Architecture79.0%
Performance73.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code RefactoringData AnalysisData VisualizationDocumentationHydrogeology ModelingJupyter NotebooksNumerical AnalysisNumerical SimulationObject-Oriented ProgrammingScientific ComputingSoftware DevelopmentThermal Modeling
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