facebookexperimental/Robyn
Dec 2024 – Jun 2025
3 Months active
Languages Used
R
Technical Skills
Data AnalysisData VisualizationPlottingR ProgrammingMarketing Mix ModelingSoftware Development
laresbernardo
PROFILE
Laresbernardo
Contributed to the facebookexperimental/Robyn repository by developing and refining features that enhance data visualization and marketing mix modeling workflows. Focused on improving plotting reliability and clarity through annotation enhancements and robust NaN handling, leveraging R and ggplot2 for consistent, accurate outputs. Refactored data filtering logic to ensure campaign visuals accurately reflect selected paid media channels, and standardized mean response calculations for reliable performance metrics. Addressed compatibility issues with ggplot2 updates and resolved legacy data input challenges, improving InputCollect robustness. The work emphasized clean commit practices, version management, and code styling, resulting in more trustworthy model evaluation and streamlined data-driven decision making.
Overall Statistics
Feature vs Bugs
29%Features
Repository Contributions
7Total
Bugs
5
Commits
7
Features
2
Lines of code
792
Activity Months3
Your Network
8 peopleShared Repositories
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dhavalpatel624624Member
gufengzhouMember
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marcopremierMember
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Paavo NiskalaMember
Sandeep ManeMember
alxlyjMember
Work History
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly performance summary for facebookexperimental/Robyn, focusing on delivering accurate metrics, robust visuals, and reliable rolling window calculations to support data-driven marketing decisions.
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly performance summary for facebookexperimental/Robyn, focusing on delivering accurate metrics, robust visuals, and reliable rolling window calculations to support data-driven marketing decisions.
June 2025
January 2025
2 Commits
Jan 1, 2025Month: 2025-01 | Repository: facebookexperimental/Robyn Key features delivered: - Fixed visualization issue on one-pagers by refactoring data filtering to correctly apply selected paid media channels to response curves and mean spends; version bumped to reflect the fix. Major bugs fixed: - Modeling date handling: improved date calculations to use all actual data dates and ensure monthly data extends to the end of the month; addressed legacy InputCollect issue for Business Analysts to improve data input handling. Overall impact and accomplishments: - Improves data accuracy for campaign performance insights, reduces data gaps, and increases reliability of visuals and inputs; enables faster, data-driven decision making across campaigns. Technologies/skills demonstrated: - Data filtering refactor, robust date calculations, InputCollect robustness, version management, and clean commit hygiene (refs: 7a0de39b6e301e32a37b9a336af152deac66ee28; 98a2261cf97552c8eb4ca5d51b99799f98ec57e9).
January 2025
2 Commits
Jan 1, 2025Month: 2025-01 | Repository: facebookexperimental/Robyn Key features delivered: - Fixed visualization issue on one-pagers by refactoring data filtering to correctly apply selected paid media channels to response curves and mean spends; version bumped to reflect the fix. Major bugs fixed: - Modeling date handling: improved date calculations to use all actual data dates and ensure monthly data extends to the end of the month; addressed legacy InputCollect issue for Business Analysts to improve data input handling. Overall impact and accomplishments: - Improves data accuracy for campaign performance insights, reduces data gaps, and increases reliability of visuals and inputs; enables faster, data-driven decision making across campaigns. Technologies/skills demonstrated: - Data filtering refactor, robust date calculations, InputCollect robustness, version management, and clean commit hygiene (refs: 7a0de39b6e301e32a37b9a336af152deac66ee28; 98a2261cf97552c8eb4ca5d51b99799f98ec57e9).
December 2024
2 Commits • 1 Features
Dec 1, 2024Monthly performance summary for December 2024 focusing on facebookexperimental/Robyn. The month centered on delivering a plotting enhancements feature, applying a version update, and stabilizing visualizations through targeted bug fixes. The work improves data visualization reliability, supports more trustworthy model evaluation, and prepares the project for streamlined releases.
2 Commits • 1 Features
Dec 1, 2024Monthly performance summary for December 2024 focusing on facebookexperimental/Robyn. The month centered on delivering a plotting enhancements feature, applying a version update, and stabilizing visualizations through targeted bug fixes. The work improves data visualization reliability, supports more trustworthy model evaluation, and prepares the project for streamlined releases.
December 2024
Activity
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Quality Metrics
Correctness84.2%
Maintainability80.0%
Architecture68.6%
Performance68.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Data AnalysisData VisualizationMarketing Mix ModelingPlottingR ProgrammingSoftware Development
Repositories Contributed To
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