DataBytes-Organisation/Katabatic
May 2025 – May 2025
1 Month active
Languages Used
CSVJupyter NotebookPython
Technical Skills
Code OrganizationData EngineeringData GenerationFile ManagementMachine LearningRefactoring
Khushi Choubey
PROFILE
Khushi Choubey
Khushi Choubey developed and integrated a TableGAN-based synthetic data generation feature for the DataBytes-Organisation/Katabatic repository, enabling robust tabular data creation for machine learning training and testing. She reorganized the codebase by centralizing TableGAN components within a dedicated Models directory, improving maintainability and discoverability. Her work included expanding dataset support through additional CSV files, facilitating experimentation and scalable data augmentation. Using Python and Jupyter Notebook, Khushi focused on code organization, data engineering, and refactoring to prepare the data pipeline for future development. The project saw careful version control and migration, with an emphasis on maintainable, experiment-ready infrastructure over rapid bug fixing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
317,432
Activity Months1
Your Network
18 people
Work History
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary for DataBytes-Organisation/Katabatic focusing on feature delivery, codebase improvements, and data pipeline readiness. Delivered a TableGAN-based data generation capability and integrated it with the existing project, reorganized the codebase under a centralized Models directory, and expanded dataset support with additional CSV files to enable robust training/testing workflows. No major bugs reported this month; work emphasized maintainability, experimentation enablement, and scalable data augmentation to accelerate ML development.
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary for DataBytes-Organisation/Katabatic focusing on feature delivery, codebase improvements, and data pipeline readiness. Delivered a TableGAN-based data generation capability and integrated it with the existing project, reorganized the codebase under a centralized Models directory, and expanded dataset support with additional CSV files to enable robust training/testing workflows. No major bugs reported this month; work emphasized maintainability, experimentation enablement, and scalable data augmentation to accelerate ML development.
May 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture65.0%
Performance55.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookPython
Technical Skills
Code OrganizationData EngineeringData GenerationFile ManagementMachine LearningRefactoringTabular Data
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