Project Overview
In this project, I led the frontend development of a mission-critical analytics dashboard for a fast-growing Fintech startup. The goal was to replace a slow, legacy reporting tool with a real-time, interactive experience that could help customers make data-driven decisions instantly.
Key Technical Challenges
1. Handling Large Datasets
The primary challenge was rendering charts with 100,000+ data points without freezing the browser.
- Solution: Implemented windowing/virtualization for data tables and used Web Workers to offload heavy data processing (sorting, filtering, aggregation) from the main thread.
- Result: Reduced initial load time by 60% and achieved a consistent 60 FPS during interactions.
2. State Management Complexity
The dashboard required complex filtering logic where multiple widgets had to update in sync based on global time-range and category selectors.
- Solution: Utilized Redux Toolkit for predictable state updates and React Query for server state management, implementing optimistic UI updates to make the interface feel instant.
3. Reusable Component Library
To ensure consistency and speed up future development, I built a custom design system.
- Solution: Created a set of accessible, compound components using Radix UI and Tailwind CSS. This reduced code duplication by 40% across the application.
Outcome
The new dashboard was launched to over 500 enterprise clients. User engagement increased by 200%, and the “time-to-insight” metric dropped from minutes to seconds. This project solidified my expertise in building scalable, performance-critical web applications.