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
Alexander Jensen integrated FIMS v0.3.0.0 into the NOAA-FIMS/case-studies repository, focusing on unit alignment and enhanced reporting for fisheries science workflows. He updated SWFSC-sardine.qmd to adopt new wrapper functions and data structures, converting input data from kilograms to metric tons and ensuring output consistency with SS3 models. Using R and Markdown, Alexander generated updated comparison figures and refreshed recruitment reporting units, supporting clearer model performance insights for business decisions. His work demonstrated depth in data analysis, data visualization, and statistical modeling, resulting in a more robust and transparent analytical pipeline for fisheries stock assessment and model comparison.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
683
Activity Months1
Your Network
83 people
Work 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
Repositories Contributed To
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