MOshima-PIFSC/ISC_OSworkflow_training
Jan 2025 – Jan 2025
1 Month active
Languages Used
QuartoRSSOShellYAML
Technical Skills
Biological ModelingData AnalysisDependency ManagementDocumentationParameter TuningR Package Management
Claudio-Castillo
PROFILE
Claudio-castillo
Worked on the MOshima-PIFSC/ISC_OSworkflow_training repository to enhance reproducibility and analytical capabilities for biological modeling workflows. Developed a script in R and Shell to automate baseline Stock Synthesis model runs, establishing a dedicated run directory and integrating required executables and data. Improved model realism by tuning natural mortality parameters across multiple years and reports, leveraging statistical modeling and parameter tuning expertise. Updated dependency management through renv.lock to ensure consistent environments. Expanded user-facing reporting by adding a new report to the website navigation using Quarto and YAML. The work demonstrated depth in R programming, data analysis, and workflow documentation.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
3
Lines of code
58,137
Activity Months1
Your Network
7 peopleWork History
January 2025
5 Commits • 3 Features
Jan 1, 2025January 2025 (2025-01) performance summary for MOshima-PIFSC/ISC_OSworkflow_training. Delivered four key items across dependency management, baseline model setup, parameter tuning, and web reporting. These changes improve reproducibility, enable baseline analyses, enhance model realism, and expand user-facing reporting. Notable commits include c57486a0500c9ba098c413f78f73c0b8cb08d899; a58e0de30da034c633cb93e9b8c1626e8ed786a5; 95f337429e6f00ca4846e0674768d6615e3edbaa; 9cd8b0cd79506da59f2c415d5aa4e8377d4f70c2; ebf7df25ad19bc611e56561cebadab4aceb4db19.
5 Commits • 3 Features
Jan 1, 2025January 2025 (2025-01) performance summary for MOshima-PIFSC/ISC_OSworkflow_training. Delivered four key items across dependency management, baseline model setup, parameter tuning, and web reporting. These changes improve reproducibility, enable baseline analyses, enhance model realism, and expand user-facing reporting. Notable commits include c57486a0500c9ba098c413f78f73c0b8cb08d899; a58e0de30da034c633cb93e9b8c1626e8ed786a5; 95f337429e6f00ca4846e0674768d6615e3edbaa; 9cd8b0cd79506da59f2c415d5aa4e8377d4f70c2; ebf7df25ad19bc611e56561cebadab4aceb4db19.
January 2025
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture84.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
QuartoRSSOShellYAML
Technical Skills
Biological ModelingData AnalysisDependency ManagementDocumentationParameter TuningR Package ManagementR ProgrammingR ScriptingReportingShell ScriptingStatistical Modeling
Repositories Contributed To
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