MERN Stack Chat App
Built with MongoDB, Express.js, React, and Node.js, leveraging Socket.io for real-time communication and JWT for secure authentication.

Hello, I'm Pranav Donepudi, a Master of Computer Science student at Rice University, graduated in December 2024.
I have a strong background in software development, data analysis, and Machine Learning with experience in Python, Java, JavaScript and C#. My interests lie in Software developer role and analyst role.
Feel free to connect with me on @LinkedIn
also through mail id @Gmail
.
Built with MongoDB, Express.js, React, and Node.js, leveraging Socket.io for real-time communication and JWT for secure authentication.
Created a game leveraging Spark Java to manage game state and user interactions, incorporating a user interface for game play.
Developing a URL shortening service that includes the use of Redis for caching to ensure quick retrieval of NoSQL data and effective response times. Implemented selective caching strategies to optimize performance. For data storage, the project utilizes Google Cloud Bigtable to manage large-scale data, including both short and long URLs, along with user IP addresses.
This project utilizes natural language processing techniques to perform sentiment analysis on various texts to determine the underlying emotional tone. The analysis is performed using Python and libraries such as Pandas, NLTK, and Matplotlib.
This project focuses on utilizing RAMBO (Range-Addressable Memory of Blobs) filters to improve querying efficiency in genomic data. The goal is to reduce false positive rates while maintaining high memory efficiency, comparing performance with traditional Bloom and Cuckoo filters.