SyahrialdiRachimAkbar/Buku_Kating_Lasso
Oct 2024 – Nov 2024
2 Months active
Languages Used
Python
Technical Skills
Data ManagementScriptingCode MaintenanceContent UpdateData CorrectionData Entry
Luthfia Laila Ramadhani
PROFILE
Luthfia Laila Ramadhani
Luthfia Laila Ramadhani enhanced the SyahrialdiRachimAkbar/Buku_Kating_Lasso repository by expanding departmental data coverage and improving data quality across multiple modules. She introduced a new Departemen MEDKRAF section in the Python script, aligning its structure and metadata with existing schemas to support analytics and reporting. Through Python scripting and diligent data management, she standardized profile fields, updated image URLs, and corrected student roster information to ensure data integrity. Her work included maintaining and validating Google Drive resource links, reducing data quality risks and improving asset accessibility. The contributions reflect careful code maintenance, data normalization, and governance-minded stewardship throughout the project.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
10Total
Bugs
3
Commits
10
Features
2
Lines of code
623
Activity Months2
Work History
November 2024
8 Commits • 1 Features
Nov 1, 2024Month: 2024-11 - Summary: In the repository SyahrialdiRachimAkbar/Buku_Kating_Lasso, delivered targeted data quality improvements for profile data across departments and fixed critical data issues to improve stakeholder visibility and data integrity. Key features delivered include standardization of profile fields (kesan, pesan, hobbies), updates to image URLs, and alignment of presentation across modules. Major bugs fixed include updating broken Google Drive URLs and resource links for Baleg and Departemen Eksternal, and correcting student roster data (NIMs and at least one student name) to ensure data integrity. Overall impact and accomplishments: enhanced data accuracy, consistent, trustworthy profiles for internal and external stakeholders, and reliable asset access; reduction of data quality risk across department interfaces. Technologies/skills demonstrated: Python scripting and data cleaning routines, data normalization across multiple datasets, URL/link validation, version-controlled changes (multiple commits to Luthfia Laila Ramadhani.py), cross-team collaboration, and governance-minded data stewardship.
8 Commits • 1 Features
Nov 1, 2024Month: 2024-11 - Summary: In the repository SyahrialdiRachimAkbar/Buku_Kating_Lasso, delivered targeted data quality improvements for profile data across departments and fixed critical data issues to improve stakeholder visibility and data integrity. Key features delivered include standardization of profile fields (kesan, pesan, hobbies), updates to image URLs, and alignment of presentation across modules. Major bugs fixed include updating broken Google Drive URLs and resource links for Baleg and Departemen Eksternal, and correcting student roster data (NIMs and at least one student name) to ensure data integrity. Overall impact and accomplishments: enhanced data accuracy, consistent, trustworthy profiles for internal and external stakeholders, and reliable asset access; reduction of data quality risk across department interfaces. Technologies/skills demonstrated: Python scripting and data cleaning routines, data normalization across multiple datasets, URL/link validation, version-controlled changes (multiple commits to Luthfia Laila Ramadhani.py), cross-team collaboration, and governance-minded data stewardship.
November 2024
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 – Delivered targeted enhancements to Buku_Kating_Lasso, expanding data coverage and stabilizing external references. Key outcomes include a new Departemen MEDKRAF data section in the Python script and the remediation of outdated Google Drive URLs across Kesekjenan and Departemen Eksternal sections. These changes improve data completeness, reliability of external resources, and readiness for analytics and dashboards.
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 – Delivered targeted enhancements to Buku_Kating_Lasso, expanding data coverage and stabilizing external references. Key outcomes include a new Departemen MEDKRAF data section in the Python script and the remediation of outdated Google Drive URLs across Kesekjenan and Departemen Eksternal sections. These changes improve data completeness, reliability of external resources, and readiness for analytics and dashboards.
Activity
Loading activity data...
Quality Metrics
Correctness94.0%
Maintainability94.0%
Architecture88.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code MaintenanceContent UpdateData CorrectionData EntryData ManagementFile ManagementPython ScriptingScript MaintenanceScripting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline