lsst-sitcom/notebooks_vandv
Jul 2025 – Aug 2025
2 Months active
Languages Used
PythonSQLJupyter Notebook
Technical Skills
Data AnalysisData VisualizationEFD Data QueryingJupyter NotebooksPythonSQL
Andrea Jeremie
PROFILE
Andrea Jeremie
Andrea developed an end-to-end diagnostic Jupyter notebook for the lsst-sitcom/notebooks_vandv repository, enabling analysis of M2 Hexapod faults in relation to elevation angles. Leveraging Python and SQL for EFD data querying, Andrea correlated fault events with elevation and visualized patterns using plots and histograms, supporting rapid fault diagnosis and actuator position analysis. In addition to feature delivery, Andrea focused on repository organization and documentation, restructuring notebook paths and enhancing clarity to streamline onboarding and future development. The work demonstrated depth in data analysis, visualization, and maintainability, providing a robust foundation for data-driven maintenance and collaborative analysis within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
819
Activity Months2
Your Network
19 people
Work History
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for lsst-sitcom/notebooks_vandv focused on repository organization and documentation improvements to improve maintainability, onboarding, and clarity in data workflows. No functional code changes were released this month; the work emphasizes sustainable scaffolding for future development and analysis tasks.
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for lsst-sitcom/notebooks_vandv focused on repository organization and documentation improvements to improve maintainability, onboarding, and clarity in data workflows. No functional code changes were released this month; the work emphasizes sustainable scaffolding for future development and analysis tasks.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 — Notebooks_VandV: Delivered an end-to-end diagnostic notebook for M2 Hexapod fault analysis with respect to elevation. The notebook queries EFD data, correlates fault occurrences with elevation, and provides plots and histograms to visualize fault patterns and actuator positions during fault events. This initial implementation, captured in commit 447c3b11745a98bd0466de5725f5377ffec3de7b, establishes a foundation for rapid fault diagnosis and data-driven maintenance. No major bugs fixed this cycle; focus was on feature delivery and validation. Business impact: enables faster fault isolation, improved reliability, and better data-driven decision-making. Technologies demonstrated: Python data analysis, Jupyter notebooks, data querying (EFD), visualization, actuator position analysis, and Git version control.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 — Notebooks_VandV: Delivered an end-to-end diagnostic notebook for M2 Hexapod fault analysis with respect to elevation. The notebook queries EFD data, correlates fault occurrences with elevation, and provides plots and histograms to visualize fault patterns and actuator positions during fault events. This initial implementation, captured in commit 447c3b11745a98bd0466de5725f5377ffec3de7b, establishes a foundation for rapid fault diagnosis and data-driven maintenance. No major bugs fixed this cycle; focus was on feature delivery and validation. Business impact: enables faster fault isolation, improved reliability, and better data-driven decision-making. Technologies demonstrated: Python data analysis, Jupyter notebooks, data querying (EFD), visualization, actuator position analysis, and Git version control.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQL
Technical Skills
Data AnalysisData VisualizationEFD Data QueryingJupyter NotebooksPythonPython ScriptingSQL
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