CHANDRA DEEP SATYESH AKIRI

Recent B.Tech graduate in Computer Science and Engineering with expertise in data structures and programming. Completed multiple virtual internships in machine learning, data analysis, and cybersecurity, gaining hands-on experience with leading technologies. Proficient in Python and C, with a strong foundation in core computer science principles. Committed to pursuing postgraduate studies abroad to enhance skills and contribute to innovative technological solutions.

Medical insurance premium prediction using machine learning

Developed a predictive application to estimate medical insurance premiums based on user-provided health and demographic data, including age, gender, BMI, smoking habits, medical history, and location The system is designed for use by both insurance companies and individual users. Implemented a hybrid machine learning model to enhance prediction accuracy. Built the backend using Python and MongoDB for efficient data handling, and developed a user-friendly frontend interface to collect inputs and display results This project demonstrates the practical application of ML in real-world healthcare finance, and showcases the integration of full-stack development with data-driven modeling