atsa-es/fish550-2025
Apr 2025 – May 2025
2 Months active
Languages Used
HTMLJavaScriptMarkdownRR MarkdownCSS
Technical Skills
ARIMA ModelingARIMA ModelsData AnalysisData VisualizationETS ModelsEcological Modeling
YourName
PROFILE
Yourname
Over two months, Mary Orrand developed a suite of fisheries analytics labs for the atsa-es/fish550-2025 repository, focusing on reproducible time series modeling and report generation. She implemented ARIMA, ETS, MARSS, DFA, and HMM models in R and R Markdown, supporting student learning with end-to-end workflows for data loading, visualization, model fitting, and forecasting. Her work included dynamic HTML and CSS assets for web-based report delivery, as well as repository organization to streamline submission and review. By emphasizing cross-team collaboration and robust documentation, Mary delivered technically sound, ready-to-submit materials that improved modeling accuracy, reproducibility, and project organization.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
10
Lines of code
25,167
Activity Months2
Your Network
8 people
Work History
May 2025
8 Commits • 8 Features
May 1, 2025May 2025 monthly summary for atsa-es/fish550-2025. Delivered end-to-end Lab 3/4/5 modeling and reporting: DFA models and outputs, trend/error-structure enhancements, and finalized reports with organized repository structure. Key outcomes include ready-to-review Lab 3 outputs, updated Lab 3 Rmd with trend models and draft QMD, enhanced DFA analysis with error-structure comparison and a 3-trend model, and completion of Team 2 HMM lab report. Repositories organized under Final Reports (Lab-4-Team-2) and Lab-4/Lab-5 updates; repo cleanup included removal of Lab 4 draft Rmd. These changes improve modeling accuracy, reproducibility, and cross-team collaboration, delivering business value to project stakeholders.
8 Commits • 8 Features
May 1, 2025May 2025 monthly summary for atsa-es/fish550-2025. Delivered end-to-end Lab 3/4/5 modeling and reporting: DFA models and outputs, trend/error-structure enhancements, and finalized reports with organized repository structure. Key outcomes include ready-to-review Lab 3 outputs, updated Lab 3 Rmd with trend models and draft QMD, enhanced DFA analysis with error-structure comparison and a 3-trend model, and completion of Team 2 HMM lab report. Repositories organized under Final Reports (Lab-4-Team-2) and Lab-4/Lab-5 updates; repo cleanup included removal of Lab 4 draft Rmd. These changes improve modeling accuracy, reproducibility, and cross-team collaboration, delivering business value to project stakeholders.
May 2025
April 2025
9 Commits • 2 Features
Apr 1, 2025April 2025: Delivered two student-facing fisheries analytics labs (Lab 1 ARIMA/ETS forecasting and Lab 2 MARSS analysis) for atsa-es/fish550-2025, with end-to-end artifact packaging and submission readiness. Focused on business value by enabling reproducible forecasting analytics and ready-to-submit reports, supported by cross-team collaboration and robust documentation.
April 2025
9 Commits • 2 Features
Apr 1, 2025April 2025: Delivered two student-facing fisheries analytics labs (Lab 1 ARIMA/ETS forecasting and Lab 2 MARSS analysis) for atsa-es/fish550-2025, with end-to-end artifact packaging and submission readiness. Focused on business value by enabling reproducible forecasting analytics and ready-to-submit reports, supported by cross-team collaboration and robust documentation.
Activity
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Quality Metrics
Correctness88.8%
Maintainability84.8%
Architecture84.2%
Performance77.6%
AI Usage22.4%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptMarkdownRR Markdown
Technical Skills
ARIMA ModelingARIMA ModelsCSS StylingData AnalysisData VisualizationDynamic Linear ModelsETS ModelsEcological ModelingFile ManagementForecastingFront-end DevelopmentHTML StructureHidden Markov ModelsHidden Markov Models (HMM)MARSS
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline