ihsanmaulanayusuf/buku_kating1
Oct 2024 – Nov 2024
2 Months active
Languages Used
PythonJupyter Notebooktext
Technical Skills
Bug FixCode CleanupCode MaintenanceCode RefactoringContent UpdateData Entry
KhairunnisaMaharani
PROFILE
Khairunnisamaharani
Khairunnisa contributed to the ihsanmaulanayusuf/buku_kating1 repository by enhancing user-facing content and improving data integrity across multiple departments. She delivered personalized feedback features, refreshed image assets, and simplified data schemas to streamline maintenance. Using Python, Pandas, and Streamlit, she corrected data inconsistencies in the Buku Kating directory, updated CSV-based data loading for KREASII analysis, and refined visualizations with Matplotlib and Seaborn. Her work included code cleanup, dependency management, and front-end updates, resulting in more accurate datasets and reliable dashboards. Through disciplined commit practices, Khairunnisa addressed both technical debt and user experience, demonstrating depth in data management and scripting.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
32Total
Bugs
2
Commits
32
Features
7
Lines of code
1,906
Activity Months2
Your Network
39 people
Work History
November 2024
20 Commits • 3 Features
Nov 1, 2024Month: 2024-11 — Performance-focused monthly summary for ihsanmaulanayusuf/buku_kating1, highlighting delivered features, bug fixes, and impact. Key features delivered: - Buku Kating Directory: Data integrity fixes and content enhancements – corrected names, NIMs, photos, and origins; removed outdated entries; refined descriptive text and visuals; added new member entries to improve accuracy and user-facing content. Representative commits include fixes around 071_Khairunnisa Maharani.py (data and media), image updates, and improved messaging. - KREASII Data Analysis & Visualization Improvements for HMSD 2024 – upgraded data loading to direct CSV URL, refined titles and descriptions, focused on participant origins analysis, updated statistics and visuals, and refreshed dependencies (e.g., requirements.txt) to improve stability and reproducibility. - Main Page About Us & Visual Content Updates – updated image URLs, removed outdated Google Drive references, and resolved a photo error on the About page to streamline visuals. Major bugs fixed: - Data inconsistencies in Buku Kating dataset (names, NIMs, photos, origins) corrected; outdated entries removed and media references aligned with current records. - Visual/content rendering issues addressed on the About page with updated images, and broken/incorrect media references fixed. - Dependency and data-loading robustness improved via KREASII and requirements updates to reduce build-time issues. Overall impact and accomplishments: - Significantly improved data accuracy and content quality for Buku Kating, enhancing user trust and decision-making. - Streamlined data loading and visualization workflows for HMSD 2024, enabling faster analysis and more reliable dashboards. - Enhanced sponsor/user experience through refreshed visuals and cleaner site presentation, supporting engagement and onboarding. Technologies/skills demonstrated: - Python data wrangling, data integrity checks, and content updates across multiple commits. - Data visualization improvements and CSV-based data loading (KREASII.py) with dependency management (requirements.txt). - Front-end/content management hygiene (About Us page updates) and source-of-truth alignment for media assets.
20 Commits • 3 Features
Nov 1, 2024Month: 2024-11 — Performance-focused monthly summary for ihsanmaulanayusuf/buku_kating1, highlighting delivered features, bug fixes, and impact. Key features delivered: - Buku Kating Directory: Data integrity fixes and content enhancements – corrected names, NIMs, photos, and origins; removed outdated entries; refined descriptive text and visuals; added new member entries to improve accuracy and user-facing content. Representative commits include fixes around 071_Khairunnisa Maharani.py (data and media), image updates, and improved messaging. - KREASII Data Analysis & Visualization Improvements for HMSD 2024 – upgraded data loading to direct CSV URL, refined titles and descriptions, focused on participant origins analysis, updated statistics and visuals, and refreshed dependencies (e.g., requirements.txt) to improve stability and reproducibility. - Main Page About Us & Visual Content Updates – updated image URLs, removed outdated Google Drive references, and resolved a photo error on the About page to streamline visuals. Major bugs fixed: - Data inconsistencies in Buku Kating dataset (names, NIMs, photos, origins) corrected; outdated entries removed and media references aligned with current records. - Visual/content rendering issues addressed on the About page with updated images, and broken/incorrect media references fixed. - Dependency and data-loading robustness improved via KREASII and requirements updates to reduce build-time issues. Overall impact and accomplishments: - Significantly improved data accuracy and content quality for Buku Kating, enhancing user trust and decision-making. - Streamlined data loading and visualization workflows for HMSD 2024, enabling faster analysis and more reliable dashboards. - Enhanced sponsor/user experience through refreshed visuals and cleaner site presentation, supporting engagement and onboarding. Technologies/skills demonstrated: - Python data wrangling, data integrity checks, and content updates across multiple commits. - Data visualization improvements and CSV-based data loading (KREASII.py) with dependency management (requirements.txt). - Front-end/content management hygiene (About Us page updates) and source-of-truth alignment for media assets.
November 2024
October 2024
12 Commits • 4 Features
Oct 1, 2024October 2024 (Month: 2024-10) highlights for ihsanmaulanayusuf/buku_kating1: Delivered user-facing content improvements, data-model simplifications, and code-quality enhancements with a focus on business value and maintainability. Key features delivered: - Personalized feedback content for Departemen PSDA and Departemen MIKFES, replacing placeholders with personalized messages for each person. - Image URL refresh across PSDA, MIKFES, and MEDKRAF sections to fix broken links and ensure up-to-date visuals. - Code cleanup to improve readability without changing functionality. - Data schema simplification by removing the redundant 'jabatan' field in Departemen PSDA to streamline data handling and reduce future maintenance. Major bugs fixed: - Indentation and syntax fixes in 071_Khairunnisa Maharani.py to ensure reliable script execution. - Kesekjenan image link corrected to resolve broken image display. Overall impact and accomplishments: - Improved user experience and content accuracy (personalized feedback, verified visuals). - More maintainable data structures and reduced complexity (jabatan removal). - Enhanced code quality and reliability (syntax fixes and readability improvements). Technologies/skills demonstrated: - Python scripting and data modeling concepts - Refactoring and code quality practices - Asset management via Google Drive URLs and image linking - Commit-driven development and cross-department coordination
October 2024
12 Commits • 4 Features
Oct 1, 2024October 2024 (Month: 2024-10) highlights for ihsanmaulanayusuf/buku_kating1: Delivered user-facing content improvements, data-model simplifications, and code-quality enhancements with a focus on business value and maintainability. Key features delivered: - Personalized feedback content for Departemen PSDA and Departemen MIKFES, replacing placeholders with personalized messages for each person. - Image URL refresh across PSDA, MIKFES, and MEDKRAF sections to fix broken links and ensure up-to-date visuals. - Code cleanup to improve readability without changing functionality. - Data schema simplification by removing the redundant 'jabatan' field in Departemen PSDA to streamline data handling and reduce future maintenance. Major bugs fixed: - Indentation and syntax fixes in 071_Khairunnisa Maharani.py to ensure reliable script execution. - Kesekjenan image link corrected to resolve broken image display. Overall impact and accomplishments: - Improved user experience and content accuracy (personalized feedback, verified visuals). - More maintainable data structures and reduced complexity (jabatan removal). - Enhanced code quality and reliability (syntax fixes and readability improvements). Technologies/skills demonstrated: - Python scripting and data modeling concepts - Refactoring and code quality practices - Asset management via Google Drive URLs and image linking - Commit-driven development and cross-department coordination
Activity
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Quality Metrics
Correctness91.2%
Maintainability91.2%
Architecture84.4%
Performance91.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythontext
Technical Skills
Bug FixBug FixingCode CleanupCode CorrectionCode MaintenanceCode RefactoringContent RefinementContent UpdateData AnalysisData CleaningData CorrectionData EntryData ManagementData ManipulationData Visualization
Repositories Contributed To
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