
Currently pursuing a Master's degree in Computer Science at UMKC, combining theoretical knowledge with hands-on experience. Passionate about leveraging advanced technologies to solve complex problems. Seeking opportunities to apply and further develop skills in software development, machine learning, and data analysis.
Methodical Associate Software Engineer experienced in software development processes and optimal testing strategies. Helps teams produce exceptional products by offering in-depth quality assurance support. Open and clear communicator with good multitasking skills, organized nature, and strong attention to detail.
Heart Disease Prediction System, The system involves a new convolutional neural network (CNN)-based multimodel disease risk prediction algorithm using structured and unstructured hospital data. It provides better prediction accuracy with a convergence speed, which is faster. Developed an application using Tkinter framework which allows a graphical user interface.
A Sentimental Polarity categorization technique for online product reviews, Built a web application with a landing page that allows users to purchase various products based on the reviews in which sentiment polarity features were considered on an individual basis. A waterfall model is used for application development, with UML-based system modeling.
Encrypt and Decrypt Messages based on the Fibonacci sequence, Implemented encryption and decryption of messages using the Fibonacci sequence as a cryptographic technique. The project focused on securing data transmitted from sender to receiver through a novel application of mathematical sequences in cryptography. Developed algorithms leveraging Fibonacci numbers to encrypt and decrypt messages, ensuring data confidentiality during transmission. Designed and implemented efficient algorithms to apply Fibonacci sequence-based encryption techniques. Utilized Python for implementing the encryption and decryption processes.