ryo-ngked/data-science-training-2025
Aug 2025 – Sep 2025
2 Months active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
Conditional StatementsData AnalysisData ScienceData Science TrainingData TypesDocumentation
SL-Chin
PROFILE
Sl-chin
SL Chin developed and expanded the ryo-ngked/data-science-training-2025 repository over two months, focusing on hands-on Python programming and data science education. They created a structured curriculum with practice notebooks covering variables, functions, loops, lists, conditionals, and Pandas, along with a progress-tracking README to support learner onboarding and measurable advancement. In September, SL Chin added an interactive Jupyter Notebook for data visualization, enabling users to analyze video game reviews using bar charts and heatmaps with Matplotlib and Seaborn. Their work emphasized reproducibility, practical exercises, and clear documentation, establishing a scalable foundation for ongoing data science training and user engagement.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
2
Lines of code
52
Activity Months2
Your Network
20 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on business value and technical achievements, with delivery details from the ryo-ngked/data-science-training-2025 repository.
1 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on business value and technical achievements, with delivery details from the ryo-ngked/data-science-training-2025 repository.
September 2025
August 2025
10 Commits • 1 Features
Aug 1, 2025August 2025: Delivered a substantial curriculum expansion for ryo-ngked/data-science-training-2025, adding Python programming exercises and data science practice notebooks (variables, arithmetic, functions, loops, lists, booleans, conditionals, Pandas, etc.), plus a progress-tracking README to measure learner advancement. Achieved through 10 commits across the repo, including 9 file additions and 1 README update, establishing a scalable, hands-on learning path and enabling measurable impact on onboarding and engagement. No major bugs fixed this month; primary focus was feature delivery and documentation to support future iterations.
August 2025
10 Commits • 1 Features
Aug 1, 2025August 2025: Delivered a substantial curriculum expansion for ryo-ngked/data-science-training-2025, adding Python programming exercises and data science practice notebooks (variables, arithmetic, functions, loops, lists, booleans, conditionals, Pandas, etc.), plus a progress-tracking README to measure learner advancement. Achieved through 10 commits across the repo, including 9 file additions and 1 README update, establishing a scalable, hands-on learning path and enabling measurable impact on onboarding and engagement. No major bugs fixed this month; primary focus was feature delivery and documentation to support future iterations.
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Conditional StatementsData AnalysisData ScienceData Science TrainingData TypesData VisualizationDocumentationIntro to ProgrammingJupyter NotebookJupyter NotebooksList ComprehensionsListsLoopsMatplotlibPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline