NOAA-FIMS/case-studies
Jan 2025 – Jan 2025
1 Month active
Languages Used
MarkdownR
Technical Skills
Data AnalysisData VisualizationFisheries ScienceR ProgrammingStatistical Modeling
Alex Jensen
PROFILE
Alex Jensen
Worked on integrating FIMS v0.3.0.0 into the NOAA-FIMS/case-studies repository, focusing on aligning data structures and reporting units for fisheries science applications. Used R and Markdown to update SWFSC-sardine.qmd, adopting new wrapper functions and converting input data from kilograms to metric tons to ensure consistency with SS3 model outputs. Generated updated comparison figures and refreshed recruitment reporting units, supporting clearer performance insights for business decision-making. The work emphasized data analysis, data visualization, and statistical modeling, resulting in more accurate model comparisons and improved reporting artifacts. No bugs were reported or fixed during this period, reflecting focused feature delivery.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
683
Activity Months1
Your Network
92 peopleWork History
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Delivered FIMS v0.3.0.0 integration for NOAA-FIMS/case-studies with unit alignment and updated reporting artifacts; implemented data structure and wrapper function updates; converted input data from kg to metric tons and adjusted output units to ensure consistency with SS3 models; generated new comparison figures and refreshed recruitment reporting units; this enables clearer performance insights and more accurate model comparisons for business decisions.
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Delivered FIMS v0.3.0.0 integration for NOAA-FIMS/case-studies with unit alignment and updated reporting artifacts; implemented data structure and wrapper function updates; converted input data from kg to metric tons and adjusted output units to ensure consistency with SS3 models; generated new comparison figures and refreshed recruitment reporting units; this enables clearer performance insights and more accurate model comparisons for business decisions.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
MarkdownR
Technical Skills
Data AnalysisData VisualizationFisheries ScienceR ProgrammingStatistical Modeling
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