facebookexperimental/Robyn
Dec 2024 – Jun 2025
3 Months active
Languages Used
R
Technical Skills
Data AnalysisData VisualizationPlottingR ProgrammingMarketing Mix ModelingSoftware Development
laresbernardo
PROFILE
Laresbernardo
Bernardo Lares contributed to the facebookexperimental/Robyn repository by enhancing data visualization reliability and standardizing marketing mix modeling outputs. Over three months, he delivered features such as improved plotting annotation and metrics calculation, refactored data filtering for campaign visuals, and addressed compatibility with ggplot2. Using R programming and data analysis skills, he resolved bugs related to NaN handling, date calculations, and rolling window integrity, ensuring accurate and consistent reporting. His work focused on robust software development practices, including version management and code styling, which reduced errors and improved maintainability. These contributions deepened the project’s analytical capabilities and supported 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 people
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
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