mcgoodman/widow-assessment-update
Mar 2025 – Mar 2025
1 Month active
Languages Used
Corctlhtml
Technical Skills
Data ManagementData ModelingFisheries ModelingMachine Learning OperationsStatistical AnalysisStock Assessment
Alberto Rovellini
PROFILE
Alberto Rovellini
Worked on the mcgoodman/widow-assessment-update repository to deliver a consolidated Widow Assessment Update, focusing on implementing the 2019 fisheries stock assessment model. Leveraging skills in data management, data modeling, and statistical analysis, the work refined model parameters and incorporated new data files to enhance predictive accuracy. The approach included archiving the base model using ctl and Cor languages, supporting historical comparisons and establishing a clear model lineage. By introducing reproducible artifacts and ensuring all changes were commit-backed, the update improved traceability and enabled robust comparative analyses across model generations, contributing to more reliable and transparent fisheries modeling workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
28,452
Activity Months1
Your Network
13 peopleShared Repositories
13
agdedrickMember
alaiamMember
Maurice Codespoti GoodmanMember
iantaylor-NOAAMember
Kiva OkenMember
Laura.SpencerMember
Laura H SpencerMember
Megan FeddernMember
MichaelMember
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for the mcgoodman/widow-assessment-update repo. Delivered a consolidated Widow Assessment Update by implementing the 2019 model and adding an archived base model for historical comparisons, enabling improved predictive accuracy and robust model lineage. The changes refine parameters, incorporate new data files, and establish reproducibility through archival artifacts. Commit-backed work ensures traceability and supports long-term comparative analyses across model generations.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for the mcgoodman/widow-assessment-update repo. Delivered a consolidated Widow Assessment Update by implementing the 2019 model and adding an archived base model for historical comparisons, enabling improved predictive accuracy and robust model lineage. The changes refine parameters, incorporate new data files, and establish reproducibility through archival artifacts. Commit-backed work ensures traceability and supports long-term comparative analyses across model generations.
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Corctlhtml
Technical Skills
Data ManagementData ModelingFisheries ModelingMachine Learning OperationsStatistical AnalysisStock Assessment
Repositories Contributed To
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