Naveen Challagundla Email & Phone Number

United States

New York, United States

In this project, I led the development of platform, focusing on enhancing user experience through personalized recommendations and robust full-stack features. I implemented Python-based algorithms for a recommendation system, significantly improving product suggestions and user engagement. The front-end was developed using React, while Django powered the back-end, ensuring seamless integration between the two. I designed and implemented RESTful APIs for user authentication, product management, and order processing using the Django REST Framework, which facilitated efficient communication between the client and server.To further enhance the platform, I built a responsive UI that leveraged Redux for state management, ensuring cross-device compatibility. I managed a PostgreSQL database, optimizing complex SQL queries for fast data retrieval and efficient transaction processing. Secure payment integration was a priority, so I incorporated payment gateways like Stripe and PayPal, implementing SSL encryption and tokenized payments to safeguard user information. Additionally, I utilized Python’s Pandas and NumPy libraries for data analysis, generating insights that optimized product listings and inventory management. The application was deployed using Docker, with automated CI/CD pipelines to ensure scalability and efficient deployment on AWS. This project not only honed my technical skills but also reinforced my ability to deliver secure and user-friendly solutions in a dynamic environment.

I crafted and maintained single-page applications using a suite of modern technologies including HTML5, CSS3, JavaScript, React.js, React Hooks, Redux, and Redux-Saga. These efforts led to a significant 30% increase in overall application performance. I effectively diminished latency by 25% by implementing React-Router and Redux, which streamlined page navigation and state management. My use of AXIOS for HTTP requests and Redux-Saga for optimized data storage and retrieval resulted in a 15% reduction in API response times. Additionally, I enhanced system integration through Node.js and Express.js, developing 10 new endpoints and improving performance by 20%. By integrating Java and MongoDB, I improved backend functionality, achieving a 30% decrease in database query times. My focus on UI development with JSP, React.js, and JavaScript led to a 40% boost in user engagement.

Master Of Science - Ms, Computer Science

Master'S Degree

Bachelor'S Degree, Computer Science