atsa-es/fish550-2025
Apr 2025 – May 2025
2 Months active
Languages Used
RR MarkdownCSSHTMLJavaScript
Technical Skills
ARIMAData ProcessingData VisualizationData WranglingDocumentationETS Models
tinatao121-99
PROFILE
Tinatao121-99
Worked on the atsa-es/fish550-2025 repository to develop analytical pipelines for ecological time series, focusing on Chinook salmon forecasting, plankton dynamics, and winter PDO analysis. Leveraged R and R Markdown to implement ARIMA, ETS, Dynamic Factor Analysis with the MARSS package, and Hidden Markov Models, emphasizing reproducible workflows and actionable visualizations. Established a robust project foundation with clear documentation and environment setup, enabling rapid onboarding and future enhancements. Refactored forecasting modules for consistency and diagnostics, and extended salmon productivity models to incorporate environmental covariates. Prioritized code quality, maintainability, and traceability across all time series modeling and data processing efforts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
5
Lines of code
4,014
Activity Months2
Your Network
135 peopleSame Organization
@uw.edu127
Work History
May 2025
6 Commits • 3 Features
May 1, 2025Month: May 2025 performance summary for atsa-es/fish550-2025. Delivered end-to-end analytical pipelines for plankton dynamics, winter PDO, and salmon productivity, incorporating dynamic factor analysis with MARSS, Hidden Markov Models for PDO states, and covariate-driven salmon models. Focused on reproducible workflows, model diagnostics, and actionable visualizations to support ecological forecasting and decision-making.
6 Commits • 3 Features
May 1, 2025Month: May 2025 performance summary for atsa-es/fish550-2025. Delivered end-to-end analytical pipelines for plankton dynamics, winter PDO, and salmon productivity, incorporating dynamic factor analysis with MARSS, Hidden Markov Models for PDO states, and covariate-driven salmon models. Focused on reproducible workflows, model diagnostics, and actionable visualizations to support ecological forecasting and decision-making.
May 2025
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for repository atsa-es/fish550-2025. Focused on establishing a robust foundation for matrix time-series analysis and delivering an end-to-end forecasting workflow for Chinook salmon data. The work emphasizes business value through reproducibility, reliable forecasting, and a clean codebase that supports rapid onboarding and future enhancements.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for repository atsa-es/fish550-2025. Focused on establishing a robust foundation for matrix time-series analysis and delivering an end-to-end forecasting workflow for Chinook salmon data. The work emphasizes business value through reproducibility, reliable forecasting, and a clean codebase that supports rapid onboarding and future enhancements.
Activity
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Quality Metrics
Correctness84.6%
Maintainability81.8%
Architecture80.0%
Performance76.4%
AI Usage25.4%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptRR Markdown
Technical Skills
ARIMAData AnalysisData ProcessingData VisualizationData WranglingDocumentationDynamic Factor AnalysisETS ModelsForecastingHidden Markov ModelsMARSS PackageR ProgrammingStatistical ModelingTime Series Analysis
Repositories Contributed To
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