yumemi-inc/daigirin-2025
Apr 2025 – May 2025
2 Months active
Languages Used
JavaScriptMarkdown
Technical Skills
Data AnalysisMachine Learning ConceptsStock Market AnalysisTechnical WritingData ScienceDocumentation
須長 淳也
PROFILE
須長 淳也
Over a two-month period, contributed to the yumemi-inc/daigirin-2025 repository by developing educational content and refining documentation for AI-driven stock investment. Delivered a new manuscript with integrated visuals, documenting the process and findings to enhance AI literacy and investment insight for users. Focused on technical writing and data analysis, the work emphasized clear narrative structure, actionable metrics, and maintainable documentation using Markdown and JavaScript. Reviewer feedback was incorporated to improve accuracy and onboarding, with all changes tracked through descriptive commits. The approach prioritized traceability, localization readiness, and future development, supporting both immediate user value and long-term project sustainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
628
Activity Months2
Your Network
23 peopleWork History
May 2025
6 Commits • 2 Features
May 1, 2025In May 2025, I focused on improving the clarity and quality of project documentation for yumemi-inc/daigirin-2025. Work centered on two features and driven by reviewer feedback to ensure accuracy, maintainability, and actionable guidance for readers and future work. There were no code-path changes this month; the emphasis was on documentation and narrative improvements that enable faster onboarding, clearer metrics, and stronger preparation for subsequent development cycles.
6 Commits • 2 Features
May 1, 2025In May 2025, I focused on improving the clarity and quality of project documentation for yumemi-inc/daigirin-2025. Work centered on two features and driven by reviewer feedback to ensure accuracy, maintainability, and actionable guidance for readers and future work. There were no code-path changes this month; the emphasis was on documentation and narrative improvements that enable faster onboarding, clearer metrics, and stronger preparation for subsequent development cycles.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025In April 2025, delivered a new AI investment manuscript and accompanying visuals for the Yumemi project, expanding educational content around AI-driven stock investment. The feature enhances user value by documenting the author’s journey and findings, aligning with strategic focus on AI literacy and investment insights. All work is tracked in yumemi-inc/daigirin-2025 with a clear Git commit history.
April 2025
1 Commits • 1 Features
Apr 1, 2025In April 2025, delivered a new AI investment manuscript and accompanying visuals for the Yumemi project, expanding educational content around AI-driven stock investment. The feature enhances user value by documenting the author’s journey and findings, aligning with strategic focus on AI literacy and investment insights. All work is tracked in yumemi-inc/daigirin-2025 with a clear Git commit history.
Activity
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Quality Metrics
Correctness83.0%
Maintainability83.0%
Architecture68.6%
Performance65.6%
AI Usage31.6%
Skills & Technologies
Programming Languages
JavaScriptMarkdown
Technical Skills
Data AnalysisData ScienceDocumentationInvestment AnalysisInvestment StrategyMachine Learning ConceptsSelf-ReflectionStock Market AnalysisTechnical Writing
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