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TenKid

PROFILE

Tenkid

Over four months, contributed to the ubsuny/PHY386 repository by building educational data analysis frameworks, reproducible Colab workflows, and automated machine learning pipelines for physics coursework. Developed Jupyter Notebook modules for beam theory, stellar classification, and exoplanet candidate vetting, leveraging Python, pandas, and scikit-learn for data cleaning, visualization, and model training. Established project scaffolding and templates to streamline onboarding and collaboration, while maintaining repository integrity through regular cleanup and bug fixes. Delivered classroom-ready materials and automated grading workflows, enabling students to analyze sensor data and solve numerical physics problems efficiently within a managed, version-controlled environment using GitHub.

Overall Statistics

Feature vs Bugs

73%Features

Repository Contributions

44Total
Bugs
3
Commits
44
Features
8
Lines of code
9,828,759
Activity Months4

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

May 2026 monthly summary focusing on key accomplishments for the ubsuny/PHY386 project. Delivered an end-to-end Kepler Objects of Interest (KOI) classification system to automate vetting of exoplanet candidates, with emphasis on business value and technical robustness. The work centered on training and evaluating multiple classifiers, data cleaning, feature engineering, and cross-mission generalization to TESS.

April 2026

5 Commits • 3 Features

Apr 1, 2026

April 2026 monthly summary for ubsuny/PHY386. Delivered tangible features and reliability improvements that directly support student learning, reproducible workflows, and data-driven analysis. The work focused on expanding Jupyter-based beam theory tooling, stabilizing physics simulations, enabling stellar classification analyses, and launching a cohesive course project framework with templates and AI-guided guidance.

March 2026

16 Commits • 2 Features

Mar 1, 2026

March 2026: Delivered a comprehensive Physics Data Analysis Education Framework and PDE homework materials in the PHY386 repo, improved data integrity, and streamlined repository maintenance. This work provides students with ready-to-use notebooks and data-analysis workflows for sensor data, visualizations, and GitHub-based project management, while ensuring reliable analyses and a cleaner codebase for ongoing development and scalability.

February 2026

22 Commits • 2 Features

Feb 1, 2026

February 2026 monthly summary for repo ubsuny/PHY386: Delivered initial bootstrap and Colab-based scaffolding, establishing a reproducible development environment and a solid project boilerplate to accelerate downstream work. No major bug fixes were recorded this month; focus remained on setting up the foundation for rapid feature development and onboarding.

Activity

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Quality Metrics

Correctness87.8%
Maintainability85.0%
Architecture83.2%
Performance85.4%
AI Usage33.6%

Skills & Technologies

Programming Languages

CSVMarkdownPythonUnknownYAMLpython

Technical Skills

AI IntegrationColabData AnalysisData ScienceGitGitHubGitHub workflowGoogle ColabJupyterJupyter NotebookJupyter NotebooksLaTeXMachine LearningMarkdownMarkdown Formatting

Repositories Contributed To

1 repo

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

ubsuny/PHY386

Feb 2026 May 2026
4 Months active

Languages Used

MarkdownPythonCSVUnknownpythonYAML

Technical Skills

AI IntegrationColabData ScienceGoogle ColabJupyterJupyter Notebook