As a Computer Engineering graduate with a CGPA of 9.15, I’ve gained valuable hands-on experience in both Full Stack Development and Data Science through internships and real-world projects. I have worked with Cuvette Tech and KPIT Technologies, where I developed robust web applications and implemented data-driven solutions using cutting-edge technologies like the MERN stack and machine learning models.During my time at KPIT, I worked on a Predictive Maintenance Model for automotive systems, reducing maintenance costs by 20% and improving system uptime by 15%. At Cuvette Tech, I developed and deployed several web applications, including Quizzie and ProManage, achieving a 25% increase in user engagement and optimizing database performance by 25%.My key technical skills include:Full Stack Development: React, Node.js, MongoDB, ExpressData Science: Python, Pandas, NumPy, Scikit-learnMachine Learning: Predictive modeling, AI, MLSoftware Testing: Manual testing, bug tracking, debuggingCollaboration: Working with cross-functional teams, agile developmentI thrive in collaborative environments and love to solve challenging problems. I’m always looking for opportunities to expand my knowledge and contribute to impactful projects.Feel free to connect or message me about potential opportunities or interesting collaborations!