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sgreenstreet

PROFILE

Sgreenstreet

Sarah Greenstreet focused on improving the reliability and clarity of the lsst/tutorial-notebooks repository by addressing a critical bug in the SSSource-related Jupyter notebooks. She corrected notebook header numbering and refined a SQL join condition to ensure that queries accurately reflected the underlying data model. Using her skills in data analysis, database querying, and documentation, Sarah updated the 201_8_SSSource_table.ipynb notebook to align with the corrected schema and query results. These changes enhanced the reproducibility and accuracy of tutorial analyses, reducing the risk of misinterpretation. Her work maintained clear traceability through well-documented commits and careful change management practices.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
0
Lines of code
4
Activity Months1

Work History

July 2025

2 Commits

Jul 1, 2025

Concise monthly summary for 2025-07 highlighting targeted bug fixes in the lsst/tutorial-notebooks project, with emphasis on business value and technical achievements.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSONJupyter NotebookSQL

Technical Skills

Data AnalysisDatabase QueryingDocumentation

Repositories Contributed To

1 repo

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

lsst/tutorial-notebooks

Jul 2025 Jul 2025
1 Month active

Languages Used

JSONJupyter NotebookSQL

Technical Skills

Data AnalysisDatabase QueryingDocumentation

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