madeline-underwood/arm-learning-paths
May 2025 – May 2025
1 Month active
Languages Used
HTMLJavaScript
Technical Skills
Code CleanupConsent ManagementFront End DevelopmentWeb Development
Alistair Davies
PROFILE
Alistair Davies
Alistair Davies enhanced privacy compliance for the madeline-underwood/arm-learning-paths repository by delivering a privacy-first cookie consent update. He integrated the OneTrust SDK using JavaScript and HTML, replacing legacy scripts to streamline consent management and ensure regulatory alignment. His work included marking Hotjar tracking as opt-in based on user-selected cookie categories, which improved consent granularity and reduced compliance risk. Alistair also removed an unused initialization script, simplifying the codebase and lowering maintenance overhead. This focused approach to code cleanup and consent management strengthened the project’s privacy posture, improved user trust, and made future privacy-related configuration changes more efficient and reliable.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
37
Activity Months1
Your Network
568 people
Work History
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for madeline-underwood/arm-learning-paths: Delivered a privacy-first cookie consent update by integrating OneTrust, removing an unused initialization script, and making Hotjar tracking opt-in by cookie category. These changes streamline the codebase, strengthen regulatory compliance, and reduce maintenance overhead, while preserving essential analytics via user-consented behavior. The work reduces risk of non-compliance fines, improves user trust, and aligns with product security and privacy goals across the project.
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for madeline-underwood/arm-learning-paths: Delivered a privacy-first cookie consent update by integrating OneTrust, removing an unused initialization script, and making Hotjar tracking opt-in by cookie category. These changes streamline the codebase, strengthen regulatory compliance, and reduce maintenance overhead, while preserving essential analytics via user-consented behavior. The work reduces risk of non-compliance fines, improves user trust, and aligns with product security and privacy goals across the project.
May 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJavaScript
Technical Skills
Code CleanupConsent ManagementFront End DevelopmentWeb Development
Repositories Contributed To
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