JARS-17/buku-kating-anova
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
Content ManagementData CleaningData CorrectionData EntryData ManagementData Manipulation
citraagustin
PROFILE
Citraagustin
During November 2024, Citra Stibjaziel focused on enhancing the Buku Kating application within the JARS-17/buku-kating-anova repository by developing a comprehensive data population and cleanup feature. Using Python, Citra implemented scripts for content management and data manipulation, enriching and reorganizing records across multiple departments. The work involved adding new entries, correcting existing data, and removing outdated information to improve overall data accuracy and consistency. This effort established a foundation for more reliable analytics and streamlined content governance. The project demonstrated depth in data cleaning and list management, resulting in improved user-facing content and better support for cross-departmental collaboration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
1
Lines of code
2,066
Activity Months1
Work History
November 2024
9 Commits • 1 Features
Nov 1, 2024November 2024 monthly performance for JARS-17/buku-kating-anova focused on delivering cross-department data population and cleanup for Buku Kating. Completed enrichment of data across multiple departments, added new entries and resources, reorganized existing records, and removed outdated data to improve data accuracy, consistency, and user-facing content. This lays the groundwork for reliable analytics and better content governance across teams.
9 Commits • 1 Features
Nov 1, 2024November 2024 monthly performance for JARS-17/buku-kating-anova focused on delivering cross-department data population and cleanup for Buku Kating. Completed enrichment of data across multiple departments, added new entries and resources, reorganized existing records, and removed outdated data to improve data accuracy, consistency, and user-facing content. This lays the groundwork for reliable analytics and better content governance across teams.
November 2024
Activity
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Quality Metrics
Correctness88.8%
Maintainability88.8%
Architecture84.4%
Performance91.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Content ManagementData CleaningData CorrectionData EntryData ManagementData ManipulationList ManagementList ManipulationText Editingstring manipulation
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