ubsuny/PHY386
Feb 2025 – May 2025
4 Months active
Languages Used
MarkdownPythonCSVJupyter NotebookNone
Technical Skills
Basic Coding PrinciplesData AnalysisJupyter NotebookMarkdownPython ProgrammingData Management
JB
PROFILE
Jb
Jemarc Briones developed a suite of scientific computing tools in the ubsuny/PHY386 repository, focusing on reproducible data analysis and educational workflows. Over four months, Jemarc built Jupyter Notebooks for physics and astronomy assignments, including automated image processing pipelines for star detection and asteroid tracking using Python, Astropy, and TensorFlow. He implemented interactive visualizations and robust data ingestion from FITS files and zip archives, supporting both classroom learning and research reproducibility. His work demonstrated depth in data management, numerical analysis, and machine learning, with careful attention to environment setup and documentation, resulting in maintainable, end-to-end solutions for scientific education.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
8
Lines of code
6,976
Activity Months4
Your Network
27 peopleSame Organization
@buffalo.edu16
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered an end-to-end Astronomical Data Analysis Notebook for Asteroid Tracking in repo ubsuny/PHY386. The feature enables ingestion of multi-FITS datasets from zip archives, interactive visualization of asteroid motion across frames, and generation of a composite path image to support fast validation and reporting. This milestone consolidates the research workflow into a reproducible Python notebook and paves the way for broader data-analysis tooling.
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered an end-to-end Astronomical Data Analysis Notebook for Asteroid Tracking in repo ubsuny/PHY386. The feature enables ingestion of multi-FITS datasets from zip archives, interactive visualization of asteroid motion across frames, and generation of a composite path image to support fast validation and reporting. This milestone consolidates the research workflow into a reproducible Python notebook and paves the way for broader data-analysis tooling.
May 2025
April 2025
3 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for ubsuny/PHY386 focusing on feature delivery, technical quality, and impact. Delivered three core features enabling hands-on learning and automated data analysis, with robust environment setup to support reproducibility and educational workflows.
April 2025
3 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for ubsuny/PHY386 focusing on feature delivery, technical quality, and impact. Delivered three core features enabling hands-on learning and automated data analysis, with robust environment setup to support reproducibility and educational workflows.
March 2025
5 Commits • 3 Features
Mar 1, 2025March 2025 Performance Summary for ubsuny/PHY386: Delivered end-to-end PHY386 analysis assets and data provisioning to enable reproducible classroom and research workflows, while cleaning up repository hygiene. The work emphasizes end-to-end data-to-insight capabilities, AI-assisted modeling refinements, and robust data preparation for homework and projects.
5 Commits • 3 Features
Mar 1, 2025March 2025 Performance Summary for ubsuny/PHY386: Delivered end-to-end PHY386 analysis assets and data provisioning to enable reproducible classroom and research workflows, while cleaning up repository hygiene. The work emphasizes end-to-end data-to-insight capabilities, AI-assisted modeling refinements, and robust data preparation for homework and projects.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ubsuny/PHY386: Delivered the PHY386 Homework 1 Jupyter Notebook release, featuring learning objectives, a 'Favorite Scientist' section with image and a LaTeX equation, and a suite of coding exercises covering Python basics. The release supports hands-on learning and aligns with course outcomes, with a single commit documenting the work for traceability.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ubsuny/PHY386: Delivered the PHY386 Homework 1 Jupyter Notebook release, featuring learning objectives, a 'Favorite Scientist' section with image and a LaTeX equation, and a suite of coding exercises covering Python basics. The release supports hands-on learning and aligns with course outcomes, with a single commit documenting the work for traceability.
Activity
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Quality Metrics
Correctness89.0%
Maintainability88.0%
Architecture88.0%
Performance86.0%
AI Usage26.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookMarkdownNonePython
Technical Skills
AstrophysicsAstropyBasic Coding PrinciplesData AnalysisData ManagementData VisualizationGoogle ColabImage ProcessingJupyter NotebookJupyter NotebooksMachine LearningMarkdownMatplotlibNumPyNumerical Analysis
Repositories Contributed To
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