ryo-ngked/data-science-training-2025
Aug 2025 – Aug 2025
1 Month active
Languages Used
JSONJupyter NotebookMarkdownPython
Technical Skills
Algorithmic ThinkingBooleansCharacter EncodingsConditional StatementsConditionalsData Analysis
JannahM013093
PROFILE
Jannahm013093
Jannah Khozari established the foundational structure for the ryo-ngked/data-science-training-2025 repository, focusing on project bootstrap and documentation to support future data science training initiatives. She created the initial project skeleton, imported essential assets, and updated onboarding materials to streamline collaboration and reproducibility. Leveraging Python, Jupyter Notebooks, and Pandas, Jannah emphasized clear organization and disciplined version control, ensuring the repository was ready for immediate experimentation and scalable development. Her work addressed the need for a maintainable, well-documented starting point, enabling rapid onboarding and efficient workflow for new contributors. The initial setup laid the groundwork for subsequent feature development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
25Total
Bugs
0
Commits
25
Features
3
Lines of code
2
Activity Months1
Your Network
20 people
Work History
August 2025
25 Commits • 3 Features
Aug 1, 2025August 2025 — Data-science-training project bootstrap and documentation. Delivered a solid baseline by establishing scaffolding, initial assets, and skeleton structure for the ryo-ngked/data-science-training-2025 repository. Focused on repository bootstrap, asset imports, and onboarding documentation to accelerate future development and collaboration. No major bugs fixed this month; emphasis was on setup, reproducibility, and enabling rapid value delivery in subsequent sprints.
25 Commits • 3 Features
Aug 1, 2025August 2025 — Data-science-training project bootstrap and documentation. Delivered a solid baseline by establishing scaffolding, initial assets, and skeleton structure for the ryo-ngked/data-science-training-2025 repository. Focused on repository bootstrap, asset imports, and onboarding documentation to accelerate future development and collaboration. No major bugs fixed this month; emphasis was on setup, reproducibility, and enabling rapid value delivery in subsequent sprints.
August 2025
Activity
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Quality Metrics
Correctness96.4%
Maintainability96.0%
Architecture95.2%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Algorithmic ThinkingBooleansCharacter EncodingsConditional StatementsConditionalsData AnalysisData CleaningData ParsingData ScienceData Science TrainingData TypesData VisualizationData WranglingDocumentationFuzzyWuzzy
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