LINGALA RAJESH

FRONTEND:HTML,CSS, Javascript, Bootstrap, Typescript, React-JS, Redux-Toolkit, React-MUI

BACKEND:Python,Django (RESTfull API Services)

DATABASE:MySQL

IDE & DEV TOOLS :Vs Code,Postman

• Developed user interface features using React js. Built reusable components and front-end libraries for scalability.
• Achieved 15% reduction in page load times by constructing a Single-page Application (SPA) using React library.
• Implemented Redux Toolkit to improve the performance of global state management.
• Designed responsive UI using Material-UI and CSS media queries for a seamless user experience across devices.

• Tradabulls is an advanced trading analysis website designed for smarter investments, offering multiple tools for stock market analysis.
• Developed user interface features with React.js, creating reusable components and front-end libraries to enhance scalability.It utilizes the React ApexCharts library for data visualization and representation.The responsive user interface is built with Material-UI and CSS media queries, ensuring a seamless experience across all devices.

• Create and deployed Ecommerce website using HTML, CSS, JavaScript, React JS.Developed and integrated functional components while implementing routing links from the navbar to all pages.Added a men's products in men's page ,Women's products in women's page,children's products in child page , Using Higher order functions from JSON file.This website is fully responsive, designed for all devices.

• I developed a frontend app using React and Redux to fetch and manage products from a Django API, efficiently handling both individual product views and the entire catalog & Created a Django REST API for efficient backend management [GET,PUT,POST,PATCH] and data handling.
• Integrated an authentication system with login, signup, and password reset functionalities via email, enabling user account activation, and password recovery.Implemented a JWT-based authentication system using Django REST API for secure user login and session management.Integrated "Add to Cart" and "My Orders" pages to handle payments and track customer orders.
• Integrated the Razorpay payment system, supporting UPI, debit cards, and credit cards for a smooth and secure banking experience.Deployed the frontend on GitHub Pages and the backend Django REST API on PythonAnywhere for reliable hosting.This website is fully responsive, designed for all devices.

Crop production is predicted using machine learning techniques based on parameters such as rainfall, crop, and meteorological conditions.This employs the most powerful supervised machine learning algorithm called Random Forest algorithm.

• Gained knowledge in full stack development, including front-end, back-end, database management, and debugging.Hands-on experience with popular web development frameworks such as Django and creation of robust and scalable web applications.

• Hands-on experience with popular web development frameworks such as Django and creation of robust and scalable web applications.