

A driven Computer Science student with practical experience in Artificial Intelligence and Machine Learning, demonstrated by successfully designing and training a Convolutional Neural Network (CNN) for the early prediction and classification of heart disease, achieving 87% predictive accuracy using Python and deep learning frameworks like TensorFlow/Keras. This technical depth is complemented by proven problem-solving and rapid development skills, evidenced by securing 5th place nationally in the SAP Hackfest..
Machine Learning and Artificial Intelligence -
Project: CNN-Based Heart Disease Prediction
Python
C Programming
HTML
CSS
Javascript
Java
SQL
Machine Learning
Fast learner
Active listening skills
Leadership qualities
Adaptability
Perseverance
Team collaboration
Secured 5th Position in National Level Hackathon (SAP Hackfest)
Machine Learning And Artificial Intelligence
SAP Hackfest 2025 - A National Level Hackathon
Machine Learning And Artificial Intelligence
From Learner to Builder: Become an AI Agent Architect
Advanced Excel
Workshop on Game Development With GODOT
Data Science