Raghavan S.N.C.V.S

Software engineer with 1 year and 10 months of experience in front-end development. Expertise in creating responsive and user-friendly interfaces using HTML, CSS, and JavaScript. Proven ability to collaborate with cross-functional teams to deliver high-quality web applications on time. Strong problem-solving skills and a commitment to continuous learning in the latest UI technologies.

Liver Disease Detection Using Machine Learning & Deep Learning, Built a predictive model for detecting liver disease using ML/DL techniques. Analyzed performance metrics like accuracy, recall, and precision. Utilized medical datasets for enhanced classification efficiency. Cyber threat detection based on ANN using event profiles, implemented neural network models to predict cyber threats Compared different ML algorithms based on accuracy, recall, and F-measure. Demonstrated CNN's superior accuracy over traditional models. Image Classification Using CNN, Developed a convolutional neural network (CNN) for object detection. Improved computer vision accuracy by leveraging deep learning techniques.

• Hobbies: Reading Books, Browsing Tech Blogs, Listening to Music, Learning About Finance & Business
• Father's Name: Varada Rajan S.N.C.V.V
• Date of Birth: 10/12/00
• Nationality: Indian