mckinsey/vizro
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
PlotlyPythondata visualization
datascienceio
PROFILE
Datascienceio
Prachee Choudhury developed two features across the mckinsey/vizro and kedro-org/kedro-plugins repositories, focusing on data visualization and robust file path handling. For vizro, she built a correlation matrix visualization using Plotly and Python, integrating it into the visual vocabulary and updating documentation to streamline user adoption. In kedro-plugins, she enhanced path management by extending support for os.PathLike objects, refactoring fixtures for reliability, and aligning documentation with modern Python pathlib practices. Her work demonstrated depth in both user-facing visualization and backend engineering, emphasizing maintainability, improved usability, and future-proofing through careful typing and code quality improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
87
Activity Months2
Your Network
18 peopleShared Repositories
18
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly performance for kedro-org/kedro-plugins focused on enhancing path-handling capabilities, improving code quality around file paths, and aligning documentation with modern Python pathlib practices. Delivered PathLike support for file paths, refined fixtures to leverage PathLike, and updated release notes to reflect direct Path usage, reducing posix-specific terminology. These changes reduce path-related errors, improve plugin usability, and set the stage for broader PathLike adoption across Kedro plugins.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly performance for kedro-org/kedro-plugins focused on enhancing path-handling capabilities, improving code quality around file paths, and aligning documentation with modern Python pathlib practices. Delivered PathLike support for file paths, refined fixtures to leverage PathLike, and updated release notes to reflect direct Path usage, reducing posix-specific terminology. These changes reduce path-related errors, improve plugin usability, and set the stage for broader PathLike adoption across Kedro plugins.
April 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for mckinsey/vizro: Delivered a Correlation Matrix Visualization as a new feature, including a dedicated page, integration into the visual vocabulary, and updates to documentation and chart groups. The work was released via a demo-ready commit and PR to enable quick user adoption. No major bugs fixed this month; the focus was on feature delivery, documentation, and release readiness.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for mckinsey/vizro: Delivered a Correlation Matrix Visualization as a new feature, including a dedicated page, integration into the visual vocabulary, and updates to documentation and chart groups. The work was released via a demo-ready commit and PR to enable quick user adoption. No major bugs fixed this month; the focus was on feature delivery, documentation, and release readiness.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data EngineeringPlotlyPythonSoftware Developmentdata visualization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
kedro-org/kedro-plugins
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
Data EngineeringPythonSoftware Development