VARALA DHRUVANANDHAN REDDY

• Developed a predictive system to forecast future temperatures based on historical climate data.
• Technologies used: Python | Scikit-Learn | Pandas | Streamlit (optional)
• Project Outcome: Built and trained ML models to predict temperature trends and displayed results in a simple, interactive interface

• Created a ML-based prediction model that determines whether a loan application should be approved based on applicant data.
• Technologies used: Python | Scikit-Learn | Pandas | Flask (optional)
• Project Outcome: Implemented classification models and generated accurate predictions to assist banking-style decision-making.

This project is a full-stack company website built for Maruthi Toolings, a real manufacturing/tooling company.
Its purpose is to:

• Show products, services, and company updates
• Allow users to contact the company through a message form
• Technologies used:This project uses React, Vite, TypeScript, TailwindCSS, and Vercel for the frontend, and Node.js, Express, TypeScript, MongoDB Atlas, Mongoose, and Render for the backend.
• project outcome:A fully functional company website where users can browse services/products and successfully send inquiries that get stored in a live MongoDB database.