Computer Science and Engineering student skilled in Python, C++, JavaScript, Java, machine learning, NLP, and web development, with projects in disease prediction, e-commerce, and recommendation systems.
Bachelor of Technology, Computer Science and Engineering
Aug 2023 – May 2027
CGPA: 7.5/10
Developed a machine-learning disease prediction system using Python and Scikit-learn that achieved 85% accuracy across multiple disease categories. Implemented Logistic Regression and SVM with feature preprocessing, hyperparameter tuning, and cross-validation, and deployed a real-time prediction interface.
Engineered a full-stack e-commerce platform using Django, HTML, CSS, Bootstrap, and SQLite, with authentication, product catalog, shopping cart, product management, order processing, inventory tracking, responsive UI, payment gateway integration, and session management.
Built and deployed a Streamlit content-based movie recommendation engine using NLP, TF-IDF vectorization, cosine similarity, and collaborative filtering on movie metadata and user behavior patterns.