Made with:
• Designed and implemented dynamic, responsive visualizations using MUI, Recharts, Vite, and React, creating stylized lucid charts and tables to display key financial performance indicators for the company.
• Built and maintained the backend server using Node.js and Express.js, effectively managing API requests. The entire project was primarily developed using TypeScript, ensuring robust and scalable architecture.
• Implemented a linear regression model using regression.js to forecast next year’s revenue based on existing data.
• Managed over 4,000 lines of data with Mongoose via MongoDB Atlas, committed changes over 60 times, and deployed the application using Vercel for frontend and Docker with Fly.io for the backend.