LaboNapitupulu/Buku_Kating_Kel9
Oct 2024 – Nov 2024
2 Months active
Languages Used
Python
Technical Skills
Code MaintenanceData CleaningData EntryData ManagementData StructuringFront-end Development
nadyaratuanjani
PROFILE
Nadyaratuanjani
Nadya contributed to the Buku_Kating_Kel9 repository by expanding departmental directories and enhancing member onboarding through structured data and image resources. She applied Python scripting and full stack development skills to implement features such as individual profile displays, personalized messaging, and data enrichment, improving both user experience and data completeness. Her work included rigorous data cleaning, correction of NIM and age fields, and updating resource links for reliability. By focusing on code maintenance and data structuring, Nadya enabled more accurate profiling and streamlined departmental communication, demonstrating a methodical approach to data management and front-end development within a collaborative team environment.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
13Total
Bugs
3
Commits
13
Features
6
Lines of code
1,443
Activity Months2
Your Network
35 people
Work History
November 2024
6 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for LaboNapitupulu/Buku_Kating_Kel9: Delivered core data and UX improvements focused on profiles, messaging, and data quality. Implemented Medkraf Individual Profiles Display, Personalized Departmental Messaging, and Buku Kating Data Enrichment. Executed Data Corrections and Typo Fixes across multiple departments to ensure NIM/age accuracy and social handle consistency. Resulted in improved data completeness, user experience, and trust, enabling more accurate profiling and departmental communication. Demonstrated strong data modeling, API/function integration, and commit-level traceability.
6 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for LaboNapitupulu/Buku_Kating_Kel9: Delivered core data and UX improvements focused on profiles, messaging, and data quality. Implemented Medkraf Individual Profiles Display, Personalized Departmental Messaging, and Buku Kating Data Enrichment. Executed Data Corrections and Typo Fixes across multiple departments to ensure NIM/age accuracy and social handle consistency. Resulted in improved data completeness, user experience, and trust, enabling more accurate profiling and departmental communication. Demonstrated strong data modeling, API/function integration, and commit-level traceability.
November 2024
October 2024
7 Commits • 3 Features
Oct 1, 2024October 2024: Expanded and hardened the Buku_Kating_Kel9 repository with three new department directories (MIKFES & Eksternal, Internal, SSD), added member data and image resources for improved onboarding and collaboration. Implemented data hygiene by cleaning up kesan and pesan fields in MIKFES data and updated Google Drive resource links to current IDs to ensure reliable access. The work enables faster team alignment, better searchability of department assets, and improved data governance across the MIKFES ecosystem.
October 2024
7 Commits • 3 Features
Oct 1, 2024October 2024: Expanded and hardened the Buku_Kating_Kel9 repository with three new department directories (MIKFES & Eksternal, Internal, SSD), added member data and image resources for improved onboarding and collaboration. Implemented data hygiene by cleaning up kesan and pesan fields in MIKFES data and updated Google Drive resource links to current IDs to ensure reliable access. The work enables faster team alignment, better searchability of department assets, and improved data governance across the MIKFES ecosystem.
Activity
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Quality Metrics
Correctness95.4%
Maintainability95.4%
Architecture92.2%
Performance98.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code MaintenanceContent UpdateData CleaningData CorrectionData EntryData ManagementData StructuringFront-end DevelopmentFull Stack DevelopmentList ManipulationPython DevelopmentPython ScriptingScripting
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