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bansalaayushi

PROFILE

Bansalaayushi

Ayushi Bansal enhanced session management in the GoogleCloudDataproc/dataproc-spark-connect-python repository by standardizing the View Session Details button, improving user experience and troubleshooting for Dataproc Spark Connect sessions. She implemented temporary UI states to control feature visibility during ongoing changes, using Python and cloud services to ensure consistent access across session flows. In the Shubha-accenture/dataproc-jupyter-plugin-fork repository, Ayushi managed dependency and license compliance by updating third-party license files and removing outdated entries, supporting audit readiness. She also handled version management for release preparation, demonstrating disciplined Git workflows and thorough testing. Her work reflects depth in Python development and dependency management.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

5Total
Bugs
1
Commits
5
Features
2
Lines of code
84
Activity Months3

Work History

September 2025

2 Commits • 1 Features

Sep 1, 2025

September 2025 release readiness for the dataproc-jupyter-plugin-fork repository. Focused on version management to support the upcoming release. Delivered two explicit version bumps—plugin to v0.1.91 and project to v0.1.92—with auditable commits. No major bugs fixed this month.

August 2025

1 Commits

Aug 1, 2025

Monthly summary for 2025-08 focusing on license/compliance maintenance for dataproc-jupyter-plugin-fork. The work ensured accurate third-party licensing data in line with updated npm dependencies, reducing audit risk and enabling smoother downstream checks for releases.

July 2025

2 Commits • 1 Features

Jul 1, 2025

July 2025 focused on delivering a consistent and user-friendly session management UX for Dataproc Spark Connect. Key work: the View Session Details button was stabilized across both new and existing session flows in the dataproc-spark-connect-python repo. This included a temporary UI state to hide the button during ongoing UI changes to prevent premature exposure, followed by reactivation to standardize access once flows were stable. The result is more transparent session creation/management and faster troubleshooting for users.

Activity

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Quality Metrics

Correctness96.0%
Maintainability100.0%
Architecture96.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonText

Technical Skills

Cloud ServicesDependency ManagementPython DevelopmentTesting

Repositories Contributed To

2 repos

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

Shubha-accenture/dataproc-jupyter-plugin-fork

Aug 2025 Sep 2025
2 Months active

Languages Used

Text

Technical Skills

Dependency Management

GoogleCloudDataproc/dataproc-spark-connect-python

Jul 2025 Jul 2025
1 Month active

Languages Used

Python

Technical Skills

Cloud ServicesPython DevelopmentTesting

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