ubsuny/PHY386
Jan 2026 – May 2026
5 Months active
Languages Used
PythonCSVJSON
Technical Skills
AI IntegrationGoogle ColabJupyterMarkdownPython ProgrammingData Science
bensabato
PROFILE
Bensabato
Developed a suite of educational and scientific computing tools in the ubsuny/PHY386 repository, focusing on physics and astrophysics coursework. Delivered Jupyter notebooks and Python modules for tasks such as resistor network analysis, asteroid motion tracking, and photometric classification of stars, integrating machine learning pipelines and data visualization. Enhanced student onboarding and project workflows through environment configuration, issue templates, and reproducible notebook structures. Leveraged Python, Jupyter, and data analysis techniques to streamline homework submissions, automate data processing, and support interactive learning. Integrated external datasets and ML classifiers, enabling robust analysis and interpretation of observational data for both instructional and research purposes.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
7
Lines of code
19,564,883
Activity Months5
Your Network
18 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 — Delivered the Photometric Analysis Module for Seestar Data (Pleiades) in the ubsuny/PHY386 repository. Implemented an end-to-end photometry workflow: loading FITS files, extracting photometric features, and applying ML-based classification using color index and instrumental magnitude. The module provides observational metadata to assist interpretation and supports a seamless integration with Gaia DR3 cross-match for richer context.
1 Commits • 1 Features
May 1, 2026May 2026 — Delivered the Photometric Analysis Module for Seestar Data (Pleiades) in the ubsuny/PHY386 repository. Implemented an end-to-end photometry workflow: loading FITS files, extracting photometric features, and applying ML-based classification using color index and instrumental magnitude. The module provides observational metadata to assist interpretation and supports a seamless integration with Gaia DR3 cross-match for richer context.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026Summary for April 2026 (2026-04): Delivered key PHY386 course enhancements, including a Homework 5 star classification notebook and infrastructure for the asteroid-motion final project. These changes improved data science learning, submission workflows, and project tracking, enabling clearer progression through the course and more reliable assessments.
April 2026
2 Commits • 1 Features
Apr 1, 2026Summary for April 2026 (2026-04): Delivered key PHY386 course enhancements, including a Homework 5 star classification notebook and infrastructure for the asteroid-motion final project. These changes improved data science learning, submission workflows, and project tracking, enabling clearer progression through the course and more reliable assessments.
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 — PHY386 repository (ubsuny/PHY386) delivered notable workflow and analytics enhancements, with improved onboarding and data analysis capabilities, and repository cleanup. Key features delivered include Python environment configuration and issue templates to streamline the final project workflow for asteroid motion tracking, and a Dipole Field Model for magnetometer data analysis. A repository cleanup removed an obsolete PHY386 Homework CSV to reduce clutter and maintenance overhead. These changes collectively improved student onboarding, accelerated data interpretation for physics experiments, and reduced ongoing maintenance costs. Technologies demonstrated include Python environment setup, template-driven onboarding, dipole field modeling, and proficient use of Git commits to track changes.
3 Commits • 2 Features
Mar 1, 2026March 2026 — PHY386 repository (ubsuny/PHY386) delivered notable workflow and analytics enhancements, with improved onboarding and data analysis capabilities, and repository cleanup. Key features delivered include Python environment configuration and issue templates to streamline the final project workflow for asteroid motion tracking, and a Dipole Field Model for magnetometer data analysis. A repository cleanup removed an obsolete PHY386 Homework CSV to reduce clutter and maintenance overhead. These changes collectively improved student onboarding, accelerated data interpretation for physics experiments, and reduced ongoing maintenance costs. Technologies demonstrated include Python environment setup, template-driven onboarding, dipole field modeling, and proficient use of Git commits to track changes.
March 2026
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly work summary for ubsuny/PHY386. Delivered two major educational notebooks enhancements and a new resistor network solver notebook, aligning educational content with hands-on experimentation and robust problem-solving capabilities. Improvements are designed to boost student engagement, learning outcomes, and the quality of technical demonstrations in physics and programming education.
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly work summary for ubsuny/PHY386. Delivered two major educational notebooks enhancements and a new resistor network solver notebook, aligning educational content with hands-on experimentation and robust problem-solving capabilities. Improvements are designed to boost student engagement, learning outcomes, and the quality of technical demonstrations in physics and programming education.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered a new Jupyter notebook for PHY386 Homework 1 in the ubsuny/PHY386 repository. The notebook introduces basic Python formatting and coding exercises with markdown cells for instructions and tasks, emphasizing practical practice and the use of AI to generate commit messages and learning outcomes. This artifact provides a reusable teaching resource, improves student onboarding, and lays groundwork for iterative curriculum improvements across the PHY386 course.
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered a new Jupyter notebook for PHY386 Homework 1 in the ubsuny/PHY386 repository. The notebook introduces basic Python formatting and coding exercises with markdown cells for instructions and tasks, emphasizing practical practice and the use of AI to generate commit messages and learning outcomes. This artifact provides a reusable teaching resource, improves student onboarding, and lays groundwork for iterative curriculum improvements across the PHY386 course.
January 2026
Activity
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Quality Metrics
Correctness96.4%
Maintainability87.2%
Architecture87.2%
Performance87.2%
AI Usage40.0%
Skills & Technologies
Programming Languages
CSVJSONPython
Technical Skills
AI IntegrationAstrophysicsData AnalysisData ScienceData analysisGitHub workflowsGoogle ColabJupyterJupyter NotebookJupyter NotebooksMachine learningMarkdownPhysics simulationPythonPython Programming
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