
Mariana Almeida developed and enhanced data visualization and analytics features for the pet-ads/systematic-front repository over six months, focusing on scalable, maintainable front-end solutions. She migrated charting from Chart.js to ApexCharts, introduced reusable chart components, and implemented dynamic, API-driven data tables and visualizations using React and TypeScript. Mariana unified export logic for charts and tables, added LaTeX protocol downloads, and improved CSV and PNG export capabilities. Her work included robust data fetching with custom hooks, UI/UX refinements using Chakra UI, and modular component design, resulting in more reliable reporting, improved data exploration, and reduced manual validation across multiple data sources.
January 2026 monthly summary for pet-ads/systematic-front. Delivered a unified export system, improved chart rendering, and a new LaTeX protocol download feature, while refactoring code into modular components to improve maintainability and future delivery velocity. These changes reduce manual rework, improve data portability, and strengthen the business value of exports and visualizations.
January 2026 monthly summary for pet-ads/systematic-front. Delivered a unified export system, improved chart rendering, and a new LaTeX protocol download feature, while refactoring code into modular components to improve maintainability and future delivery velocity. These changes reduce manual rework, improve data portability, and strengthen the business value of exports and visualizations.
November 2025 performance summary for pet-ads/systematic-front: Delivered substantial front-end visualization enhancements and improved reliability of analytics visuals. Implemented PNG export on the graphics page for reporting, refined BarChart axis labels and tooltip formatting to improve readability, added QuestionsTable filters and support for dynamic question types, and introduced new chart types plus a Bubble Chart preview. Fixed Studies Funnel chart duplicate IDs by implementing dynamic edge generation to ensure unique edges and stronger chart integrity. These changes enhance reporting readiness, reduce manual validation time, and increase user trust in analytics.
November 2025 performance summary for pet-ads/systematic-front: Delivered substantial front-end visualization enhancements and improved reliability of analytics visuals. Implemented PNG export on the graphics page for reporting, refined BarChart axis labels and tooltip formatting to improve readability, added QuestionsTable filters and support for dynamic question types, and introduced new chart types plus a Bubble Chart preview. Fixed Studies Funnel chart duplicate IDs by implementing dynamic edge generation to ensure unique edges and stronger chart integrity. These changes enhance reporting readiness, reduce manual validation time, and increase user trust in analytics.
September 2025 monthly summary for pet-ads/systematic-front. Focused on delivering core front-end enhancements to improve data exploration, charting capabilities, and UI stability, driving faster insights and a better user experience across articles and studies data.
September 2025 monthly summary for pet-ads/systematic-front. Focused on delivering core front-end enhancements to improve data exploration, charting capabilities, and UI stability, driving faster insights and a better user experience across articles and studies data.
July 2025 (2025-07) monthly summary for pet-ads/systematic-front. Delivered business-valued frontend enhancements focused on data visibility, dynamic charts, and robust data fetching to support reliable analytics and reporting across data sources. Implemented API-backed question data rendering, upgraded charting to dynamic, reusable visuals, and strengthened data-fetching for multi-database reports, accompanied by UI polish and backend-schema alignment to reduce frontend/backend friction.
July 2025 (2025-07) monthly summary for pet-ads/systematic-front. Delivered business-valued frontend enhancements focused on data visibility, dynamic charts, and robust data fetching to support reliable analytics and reporting across data sources. Implemented API-backed question data rendering, upgraded charting to dynamic, reusable visuals, and strengthened data-fetching for multi-database reports, accompanied by UI polish and backend-schema alignment to reduce frontend/backend friction.
June 2025 delivered a revamped graphics workspace for the systematic-front repo, focusing on dynamic, API-driven data visualization and cohesive study data presentation. The work enhances cross-source data integration, UI consistency, and data exploration capabilities while stabilizing data fetch paths and quality checks.
June 2025 delivered a revamped graphics workspace for the systematic-front repo, focusing on dynamic, API-driven data visualization and cohesive study data presentation. The work enhances cross-source data integration, UI consistency, and data exploration capabilities while stabilizing data fetch paths and quality checks.
May 2025 focused on delivering data visualization enhancements for the NovaRevisao graphics page, enabling clearer, data-driven insights while reducing frontend maintenance. Key work included migrating from Chart.js to ApexCharts, delivering a reusable chart suite (BarChart, PieChart, FunnelChart), integrating API-backed data endpoints, and polishing UI styling for consistent visualization across databases. The work positions the product for faster data-informed decisions and scalable analytics.
May 2025 focused on delivering data visualization enhancements for the NovaRevisao graphics page, enabling clearer, data-driven insights while reducing frontend maintenance. Key work included migrating from Chart.js to ApexCharts, delivering a reusable chart suite (BarChart, PieChart, FunnelChart), integrating API-backed data endpoints, and polishing UI styling for consistent visualization across databases. The work positions the product for faster data-informed decisions and scalable analytics.

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