one-among-us/data
Jun 2025 – Jun 2025
1 Month active
Languages Used
MarkdownN/APythonSQL
Technical Skills
Asset OptimizationCode CommentingCode DocumentationContent ManagementData ProcessingDatabase Management
Elihuso Quigley
PROFILE
Elihuso Quigley
Contributed to the one-among-us/data repository by delivering ten features and resolving a critical data quality issue within a month. Focus areas included data cleansing to exclude problematic entries, standardizing profile photo handling for consistent user experience, and expanding localization with zh_hant support to reach Traditional Chinese users. Enhanced collaboration by implementing comment activity tracking and enriching inline documentation, which improved feedback cycles for product teams. Leveraged Python and SQL for data processing and database management, while utilizing Markdown for comprehensive code documentation. The work emphasized maintainability, data reliability, and broader accessibility, supporting both technical and non-technical stakeholders across the project.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
25Total
Bugs
1
Commits
25
Features
10
Lines of code
177
Activity Months1
Your Network
18 peopleSame Organization
@oneamongus.ca1
Shared Repositories
17
Work History
June 2025
25 Commits • 10 Features
Jun 1, 2025June 2025 monthly summary for the one-among-us/data repository. Focused on data quality, localization, UX consistency, and collaboration enhancements. Key outcomes include a critical data cleansing fix to exclude a problematic user, standardization of profile photo handling, addition of zh_hant localization, and multi-repo comment activity tracking with inline documentation. These efforts improved data reliability, broadened audience reach, and accelerated feedback cycles for product teams across the data module.
25 Commits • 10 Features
Jun 1, 2025June 2025 monthly summary for the one-among-us/data repository. Focused on data quality, localization, UX consistency, and collaboration enhancements. Key outcomes include a critical data cleansing fix to exclude a problematic user, standardization of profile photo handling, addition of zh_hant localization, and multi-repo comment activity tracking with inline documentation. These efforts improved data reliability, broadened audience reach, and accelerated feedback cycles for product teams across the data module.
June 2025
Activity
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Quality Metrics
Correctness97.6%
Maintainability97.6%
Architecture96.8%
Performance96.8%
AI Usage23.2%
Skills & Technologies
Programming Languages
MarkdownN/APythonSQL
Technical Skills
Asset OptimizationCode CommentingCode DocumentationContent ManagementData ProcessingDatabase ManagementDocumentationLocalizationN/A
Repositories Contributed To
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