EXCEEDS logo
Exceeds
Stephanie Juneau

PROFILE

Stephanie Juneau

Stephanie Juneau developed and enhanced research-focused Jupyter notebooks in the astro-datalab/notebooks-latest repository, delivering new tools for exploring astronomical datasets such as the Coma Cluster and DESI DR1. She implemented data visualization and analysis features using Python, Pandas, and Matplotlib, enabling efficient filtering, redshift visualization, and spectral-type analysis. Stephanie improved metadata management, documentation, and project structure to support reproducibility and accelerate onboarding for research teams. Her work included refining code organization, addressing peer review feedback, and updating example figures and summaries, resulting in notebooks that clarify tool capabilities and streamline data exploration for astrophysics and spectroscopy applications.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

14Total
Bugs
0
Commits
14
Features
4
Lines of code
48,937
Activity Months3

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025 monthly summary for astro-datalab/notebooks-latest: Delivered Notebook Documentation and Demo Enhancement. Implemented an updated Jupyter notebook with a new example figure showing a prospect display with a DESI spectrum, expanded the summary section, and elaborated on tool capabilities and data handling. Version bumped to reflect October 2025 release. Change implemented via commit c9c3a1c8d8894849d1bfee6a20346826b54d0f01. No major bugs fixed this month. This work improves onboarding, clarifies capabilities for data exploration, and strengthens reproducibility for notebook users. Technologies demonstrated: Jupyter notebooks, data visualization, documentation, and versioning.

March 2025

9 Commits • 1 Features

Mar 1, 2025

March 2025 monthly performance focused on enabling research teams to explore DESI DR1 data efficiently through end-to-end notebooks. Delivered the DESI DR1 Notebooks: Comprehensive Data Exploration and Visualization for astro-datalab/notebooks-latest, providing data access, filtering, spectral-type analysis, redshift visualization, and SPARCL-based spectra plotting, paired with improved documentation and project structure to support DR1 notebook usage. The work enhances reproducibility, accelerates insight generation, and reduces onboarding time for DR1 data exploration.

January 2025

4 Commits • 2 Features

Jan 1, 2025

January 2025 monthly summary for astro-datalab/notebooks-latest: Delivered a new Cosmic Slime Notebook for Coma Cluster analysis with visualizations of sky coverage and redshift distributions to aid cluster localization. Implemented metadata and documentation improvements, including adding the keyword 'quenching', updated author metadata, and refined wording and table readability. Addressed QA feedback with targeted fixes (typos, code adjustments, and refs) from peer reviews. Result: improved research capability, faster discovery and onboarding, and higher reproducibility through better documentation and quality controls. Technologies/skills demonstrated: Jupyter notebook development, data visualization, metadata management, documentation practices, and collaborative code reviews.

Activity

Loading activity data...

Quality Metrics

Correctness94.2%
Maintainability94.2%
Architecture90.0%
Performance91.4%
AI Usage22.8%

Skills & Technologies

Programming Languages

CSSHTMLJavaScriptJupyter NotebookMarkdownPythonSQLText

Technical Skills

AstronomyAstrophysicsAstropyCode OrganizationDESIData AnalysisData VisualizationDataLabDatabase QueryingDocumentationFile ManagementJupyter NotebooksMarkdownMatplotlibMetadata Management

Repositories Contributed To

1 repo

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

astro-datalab/notebooks-latest

Jan 2025 Oct 2025
3 Months active

Languages Used

Jupyter NotebookPythonTextCSSHTMLJavaScriptMarkdownSQL

Technical Skills

AstrophysicsAstropyData AnalysisData VisualizationMatplotlibMetadata Management