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LilacHo

PROFILE

Lilacho

Over a two-month period, contributed to the atsa-es/fish550-2025 repository by developing analytical workflows and reproducible reporting for time series forecasting and statistical modeling labs. Built lab scaffolding, forecasting templates, and MARSS analysis setups, emphasizing automation and standardized documentation using R and R Markdown. Delivered end-to-end features for Dynamic Factor Analysis, Hidden Markov Models, and Dynamic Linear Models, integrating data wrangling, model diagnostics, and forecasting for salmon and climate datasets. Enhanced report readability and reproducibility, improved test artifact management, and established conventions for final report delivery, supporting faster onboarding and clearer communication of analytical results to project stakeholders.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

36Total
Bugs
0
Commits
36
Features
6
Lines of code
38,088
Activity Months2

Work History

May 2025

17 Commits • 3 Features

May 1, 2025

Month: 2025-05. Focused on delivering end-to-end analytical features and improving documentation across Lab 3 DFA, Lab 4 HMM, and Lab 5 DLM projects in the atsa-es/fish550-2025 repository. The work produced robust modeling reports, improved report readability, and prepared the project for reproducible analyses and stakeholder communication. Notable improvements include updated DFA documentation with interpretation guidance, HMM-based analysis and cleanup for PDO data with stability checks, and comprehensive Lab 5 reports with forecasting and covariate analyses; a minor bug fix in Lab 3 and formatting/structure cleanups in Lab 4. The changes enhance business value by enabling more accurate forecasting and clearer model interpretations for decision-makers.

April 2025

19 Commits • 3 Features

Apr 1, 2025

April 2025 monthly summary for atsa-es/fish550-2025: Delivered core lab scaffolding, forecasting templates, and MARSS analysis setup across Lab 1 and Lab 2. Achieved reproducible workflows, improved test artifact lifecycle, and enhanced reporting quality, enabling faster onboarding and data-driven decision making.

Activity

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Quality Metrics

Correctness86.6%
Maintainability84.0%
Architecture81.0%
Performance79.4%
AI Usage26.6%

Skills & Technologies

Programming Languages

HTMLJavaScriptMarkdownRR Markdown

Technical Skills

ARIMAARIMA ModelingARIMA ModelsData AnalysisData VisualizationData WranglingDocumentationDynamic Factor AnalysisETS ModelsFile ManagementForecastingHidden Markov ModelsMARSS PackageRR Markdown

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

atsa-es/fish550-2025

Apr 2025 May 2025
2 Months active

Languages Used

HTMLJavaScriptMarkdownRR Markdown

Technical Skills

ARIMAARIMA ModelingARIMA ModelsData AnalysisData VisualizationData Wrangling