mcgoodman/widow-assessment-update
Feb 2025 – May 2025
4 Months active
Languages Used
Git ConfigurationRCSVC
Technical Skills
Data AnalysisData VisualizationGitR ProgrammingData EngineeringData Management
alaiam
PROFILE
Alaiam
Worked on the mcgoodman/widow-assessment-update repository to deliver a robust data engineering and analysis workflow supporting fisheries stock assessments. Developed and refined R scripts for data cleaning, integration, and visualization, enabling reproducible analyses of discard rates and length compositions across fleets and years. Enhanced data pipelines by incorporating new CSV datasets, integrating GEMM sources, and standardizing data fields for improved traceability and reporting. Addressed data quality through targeted bug fixes, such as correcting numerical precision and source labeling. Leveraged R, Git, and CSV processing to ensure reliable, version-controlled analytics, supporting accurate modeling and streamlined collaboration for fisheries science assessments.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
10Total
Bugs
3
Commits
10
Features
6
Lines of code
51,946
Activity Months4
Your Network
13 peopleShared Repositories
13
agdedrickMember
Alberto RovelliniMember
Maurice Codespoti GoodmanMember
iantaylor-NOAAMember
Kiva OkenMember
Laura.SpencerMember
Laura H SpencerMember
Megan FeddernMember
MichaelMember
Work History
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for mcgoodman/widow-assessment-update focused on data reliability and standardization in the widow assessment reporting workflow. Key fixes reduced data discrepancies and improved downstream analytics accuracy, enabling more trustworthy business decisions and stakeholder reporting.
1 Commits
May 1, 2025May 2025 monthly summary for mcgoodman/widow-assessment-update focused on data reliability and standardization in the widow assessment reporting workflow. Key fixes reduced data discrepancies and improved downstream analytics accuracy, enabling more trustworthy business decisions and stakeholder reporting.
May 2025
April 2025
4 Commits • 3 Features
Apr 1, 2025April 2025 — Delivered three major feature updates in mcgoodman/widow-assessment-update to strengthen data fusion, visualization, and fleet-by-fleet modeling for the widow rockfish assessment. Key features: 1) Enhanced discard data preparation and visualization across fleets with midwater discards, GEMM data integration, fleet identifier reassignments, and refined standard errors/output paths; 2) Updated WCGOP discard data for the 2025 assessment (fleet 1 & 5 extended, fleet 2 updated, GEMM data included); 3) Widow rockfish assessment model overhaul with fleet-by-fleet discard data and updated control/data files for finer population dynamics analysis. Major bugs fixed include corrections to midwater discards and updates to HnL discards, ensuring data quality across the new datasets. Impact: improved accuracy and reliability of stock assessments, enabling better management decisions; pipeline improvements and more complete data sources reduce iteration time. Technologies/skills: data wrangling, data integration from GEMM sources, plotting enhancements, statistical standard error calculations, model refactoring, and version control discipline.
April 2025
4 Commits • 3 Features
Apr 1, 2025April 2025 — Delivered three major feature updates in mcgoodman/widow-assessment-update to strengthen data fusion, visualization, and fleet-by-fleet modeling for the widow rockfish assessment. Key features: 1) Enhanced discard data preparation and visualization across fleets with midwater discards, GEMM data integration, fleet identifier reassignments, and refined standard errors/output paths; 2) Updated WCGOP discard data for the 2025 assessment (fleet 1 & 5 extended, fleet 2 updated, GEMM data included); 3) Widow rockfish assessment model overhaul with fleet-by-fleet discard data and updated control/data files for finer population dynamics analysis. Major bugs fixed include corrections to midwater discards and updates to HnL discards, ensuring data quality across the new datasets. Impact: improved accuracy and reliability of stock assessments, enabling better management decisions; pipeline improvements and more complete data sources reduce iteration time. Technologies/skills: data wrangling, data integration from GEMM sources, plotting enhancements, statistical standard error calculations, model refactoring, and version control discipline.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for mcgoodman/widow-assessment-update: Delivered two major features to strengthen data availability and analysis capabilities for 2025 assessments. The first feature adds 2025 discard data CSVs (raw discards_2025.csv and enhanced discards_2025_opt2_new_wcgop.csv) with improved fields for interpretation and source tracking. The second feature implements an end-to-end NWFSC Combo Length and Conditional Age-at-Length processing pipeline in R, including data pulling, strata definition, generation of expanded length composition data for SS3, preparation of conditional age-at-length data, export to CSV, and plotting utilities. No major bugs fixed this month. Overall, these deliverables accelerate reporting, improve data quality and traceability, and broaden analytical capabilities for fisheries assessment. Technologies/skills demonstrated: R scripting for data extraction and processing, CSV I/O, plotting, data governance and reproducibility, and strong commit-based version control (references: da89fddf66d8a71d77c6b0358d349dfa6b7e7002; 37052b0411d6b6ff918afd8cd96072a2a9a1cbb3).
2 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for mcgoodman/widow-assessment-update: Delivered two major features to strengthen data availability and analysis capabilities for 2025 assessments. The first feature adds 2025 discard data CSVs (raw discards_2025.csv and enhanced discards_2025_opt2_new_wcgop.csv) with improved fields for interpretation and source tracking. The second feature implements an end-to-end NWFSC Combo Length and Conditional Age-at-Length processing pipeline in R, including data pulling, strata definition, generation of expanded length composition data for SS3, preparation of conditional age-at-length data, export to CSV, and plotting utilities. No major bugs fixed this month. Overall, these deliverables accelerate reporting, improve data quality and traceability, and broaden analytical capabilities for fisheries assessment. Technologies/skills demonstrated: R scripting for data extraction and processing, CSV I/O, plotting, data governance and reproducibility, and strong commit-based version control (references: da89fddf66d8a71d77c6b0358d349dfa6b7e7002; 37052b0411d6b6ff918afd8cd96072a2a9a1cbb3).
March 2025
February 2025
3 Commits • 1 Features
Feb 1, 2025Concise monthly summary for 2025-02 focusing on the mcgoodman/widow-assessment-update repository. Highlights include end-to-end feature delivery, targeted bug fixes, and improvements that reduce noise in version control, all contributing to reproducible analyses and cleaner collaboration.
February 2025
3 Commits • 1 Features
Feb 1, 2025Concise monthly summary for 2025-02 focusing on the mcgoodman/widow-assessment-update repository. Highlights include end-to-end feature delivery, targeted bug fixes, and improvements that reduce noise in version control, all contributing to reproducible analyses and cleaner collaboration.
Activity
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Quality Metrics
Correctness86.0%
Maintainability88.0%
Architecture88.0%
Performance82.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CCSVGit ConfigurationR
Technical Skills
Data AnalysisData CleaningData EngineeringData IntegrationData ManagementData PreparationData ProcessingData VisualizationFisheries ScienceGitR ProgrammingSoftware DevelopmentStatistical AnalysisStatistical Modeling
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