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
Developed and integrated a TableGAN-based synthetic data generation feature for the DataBytes-Organisation/Katabatic repository, enabling robust creation of tabular datasets for machine learning training and testing. The work involved reorganizing the codebase by centralizing model components under a dedicated Models directory, which improved maintainability and discoverability. Expanded support for experimentation by adding new CSV files, facilitating more comprehensive data engineering workflows. Leveraged Python and Jupyter Notebook to implement and document the solution, with careful version control throughout the migration process. The focus remained on scalable data augmentation, code organization, and preparing the data pipeline for future machine learning development.
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 peopleWork 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
Loading activity data...
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
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline