oss-slu/tbe
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
Data ProcessingFile I/OScripting
harshitha-thota
PROFILE
Harshitha-thota
Harshitha Thota developed an automated data cataloging workflow for the oss-slu/tbe repository, focusing on streamlining data discovery and governance. She built a Python script that scans directories for CSV files, extracts detailed metadata such as file names, sizes, timestamps, row and column counts, and column names, and consolidates this information into a JSON report. Leveraging her skills in data processing, scripting, and file I/O, Harshitha’s solution reduced manual auditing effort and improved data validation for downstream analytics. The work was well-scoped, maintainable, and laid a foundation for future data quality checks, demonstrating thoughtful engineering within a focused timeframe.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
97
Activity Months1
Your Network
18 people
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Focused on delivering automated data cataloging capabilities for the oss-slu/tbe repository. Delivered a Python-based CSV metadata extraction and JSON reporting workflow that scans a target directory for CSV files, collects metadata (file name, size, creation/modification times, row/column counts, and column names), and outputs a consolidated JSON report. This enables faster data discovery, validation, and downstream analytics. No major bugs reported this month; maintained a small, well-scoped script to improve maintainability and reproducibility. The work lays groundwork for automated data quality checks and inventory tracking, delivering measurable business value through streamlined data governance.
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Focused on delivering automated data cataloging capabilities for the oss-slu/tbe repository. Delivered a Python-based CSV metadata extraction and JSON reporting workflow that scans a target directory for CSV files, collects metadata (file name, size, creation/modification times, row/column counts, and column names), and outputs a consolidated JSON report. This enables faster data discovery, validation, and downstream analytics. No major bugs reported this month; maintained a small, well-scoped script to improve maintainability and reproducibility. The work lays groundwork for automated data quality checks and inventory tracking, delivering measurable business value through streamlined data governance.
December 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data ProcessingFile I/OScripting
Repositories Contributed To
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