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
Contributed to the ryo-ngked/data-science-training-2025 repository by developing a hands-on curriculum expansion and an interactive data visualization notebook over a two-month period. Built Python programming exercises and data science practice notebooks covering variables, functions, loops, conditionals, and Pandas, along with a README for tracking learner progress. Delivered an additional Jupyter Notebook focused on visualizing video game review data using Matplotlib and Seaborn, enabling users to explore bar charts and heatmaps. Emphasized reproducibility and measurable outcomes through structured documentation and practical exercises, supporting scalable onboarding and iterative learning for data science trainees without addressing bug fixes during this timeframe.
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 peopleWork 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
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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