atsa-es/fish550-2025
Apr 2025 – May 2025
2 Months active
Languages Used
RR Markdown
Technical Skills
Data AnalysisData VisualizationData WranglingDynamic Factor Analysis (DFA)File System ManagementForecasting
Ben Makhlouf
PROFILE
Ben Makhlouf
Makhlobe developed and enhanced ecological data analysis pipelines in the atsa-es/fish550-2025 repository, focusing on time series modeling for plankton, PDO, and salmon datasets. Using R and R Markdown, Makhlobe implemented frameworks for Dynamic Factor Analysis, Hidden Markov Models, and Dynamic Linear Models, enabling robust model comparison and automated reporting. The work included building reusable templates, establishing team scaffolding, and improving data privacy in scripts. By consolidating code and streamlining data wrangling, Makhlobe improved reproducibility and maintainability. The engineering approach demonstrated depth in statistical modeling and facilitated faster, more reliable analyses for collaborative research and stakeholder reporting.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
30Total
Bugs
1
Commits
30
Features
12
Lines of code
56,414
Activity Months2
Your Network
8 people
Work History
May 2025
11 Commits • 4 Features
May 1, 2025In May 2025, the fish550-2025 project advanced model development pipelines across ecological data analysis (DFA, HMM, DLM) for plankton, PDO, and salmon datasets, while initiating Ricker MARSS work. The work emphasized producing reporting-ready templates, robust model comparisons (AICc), and data processing automation to shorten turnaround for stakeholder reports. Collaboration across scripts and labs laid groundwork for scalable, reproducible analyses.
11 Commits • 4 Features
May 1, 2025In May 2025, the fish550-2025 project advanced model development pipelines across ecological data analysis (DFA, HMM, DLM) for plankton, PDO, and salmon datasets, while initiating Ricker MARSS work. The work emphasized producing reporting-ready templates, robust model comparisons (AICc), and data processing automation to shorten turnaround for stakeholder reports. Collaboration across scripts and labs laid groundwork for scalable, reproducible analyses.
May 2025
April 2025
19 Commits • 8 Features
Apr 1, 2025Concise monthly summary for 2025-04 covering the atsa-es/fish550-2025 repository. Highlights include delivering scalable team scaffolding, advancing MARSS-based modeling and analysis capabilities, establishing reusable templates for project structure and reporting, and tightening data privacy in scripts. The month combined hands-on feature work with targeted bug fixes and performance-oriented improvements, reinforcing maintainability, reproducibility, and data-driven decision making.
April 2025
19 Commits • 8 Features
Apr 1, 2025Concise monthly summary for 2025-04 covering the atsa-es/fish550-2025 repository. Highlights include delivering scalable team scaffolding, advancing MARSS-based modeling and analysis capabilities, establishing reusable templates for project structure and reporting, and tightening data privacy in scripts. The month combined hands-on feature work with targeted bug fixes and performance-oriented improvements, reinforcing maintainability, reproducibility, and data-driven decision making.
Activity
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Quality Metrics
Correctness82.0%
Maintainability80.6%
Architecture80.2%
Performance67.6%
AI Usage21.2%
Skills & Technologies
Programming Languages
RR Markdown
Technical Skills
Data AnalysisData VisualizationData WranglingDynamic Factor AnalysisDynamic Factor Analysis (DFA)File System ManagementForecastingHidden Markov ModelsHypothesis TestingMARSSRR MarkdownR ProgrammingStatistical ModelingTime Series Analysis
Repositories Contributed To
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