I am a Computer Engineering undergraduate with hands-on experience in Data Analytics, Machine Learning, and Full Stack Development. I enjoy solving real-world problems by transforming raw data into meaningful insights and building scalable, data-driven applications.

During my Data Analytics internship at Codtech IT Solutions, I worked on Customer Churn Analysis and Stock Price Prediction projects, where I performed data cleaning, exploratory data analysis, feature engineering, and implemented machine learning models to generate actionable business insights.

I have built multiple end-to-end projects, including an AI-driven Food Health Evaluation System using OCR and CNNs, an AI Image Generator using the MERN stack and Stable Diffusion, and a Medical Equipment Failure Prediction System, where I led an 8-member team and achieved a model accuracy of 91%.

I am particularly interested in Data Science, Artificial Intelligence, Machine Learning, and Software Engineering. I am proficient in Python, C++, SQL, and the MERN stack, I continuously seek opportunities to learn, build, and contribute to impactful technology solutions.