duckduckgo/privacy-configuration
Mar 2026 – Mar 2026
1 Month active
Languages Used
JSON
Technical Skills
configuration managementcross-platform developmentdata analysis
Miha Gazvoda
PROFILE
Miha Gazvoda
Miha Gazvoda worked on consolidating attribution metrics across Android, iOS, and macOS within the duckduckgo/privacy-configuration repository, focusing on improving data reliability and maintainability. He aligned cross-platform configuration by updating the attributed metrics model to version 2, ensuring a single source of truth for analytics and marketing attribution. Using JSON for configuration management and data analysis, Miha addressed data accuracy by correcting metric boundaries and removing duplicate overrides, which reduced the risk of stale data. His work demonstrated a methodical approach to cross-platform development, resulting in more reliable analytics and streamlined operational processes for the repository’s configuration system.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
213
Activity Months1
Your Network
90 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for duckduckgo/privacy-configuration: Focused on consolidating attribution metrics across Android, iOS, and macOS, improving data reliability and maintainability, and aligning metrics with a single source of truth. Delivered cross-platform configuration changes and versioned the attributed metrics model to v2, addressing data accuracy issues and reducing stale overrides. This work supports better marketing attribution, product analytics, and operational maintainability.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for duckduckgo/privacy-configuration: Focused on consolidating attribution metrics across Android, iOS, and macOS, improving data reliability and maintainability, and aligning metrics with a single source of truth. Delivered cross-platform configuration changes and versioned the attributed metrics model to v2, addressing data accuracy issues and reducing stale overrides. This work supports better marketing attribution, product analytics, and operational maintainability.
March 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
JSON
Technical Skills
configuration managementcross-platform developmentdata analysis
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