I am currently pursuing a dual academic path, studying Mechanical Electric Vehicles at Vellore Institute of Technology (VIT) and Data Science at IIT Madras. This unique combination of disciplines allows me to bridge the gap between engineering and data analytics, and I am passionate about leveraging these skills to drive innovation in the technology and automotive sectors.
At VIT, my focus on Mechanical Electric Vehicles has given me a solid foundation in engineering principles, sustainable technology, and the future of transportation. I actively engage in projects and discussions within the Mechanical Engineering Society, where I explore cutting-edge advancements in electric vehicle technology.
Simultaneously, my studies in Data Science at IIT Madras have equipped me with a strong background in statistics, mathematics, and computational thinking. I have completed courses in these areas, along with hands-on projects like statistical analysis using Python and developing algorithms for complex problem-solving. As a member of the Data Science Club, I continually enhance my knowledge and stay updated with the latest trends and technologies in data science.
I thrive on tackling challenging problems and am particularly interested in how data-driven insights can transform engineering processes and product development. My goal is to innovate at the intersection of these fields, contributing to the creation of smarter, more efficient technologies.
In addition to my academic pursuits, I actively participate in workshops, seminars, and hackathons, such as the Hackathon 2024 at VIT, where I worked on sustainable solutions for electric vehicle technology. These experiences have honed my ability to work collaboratively, think critically, and develop practical solutions to real-world problems.
I am always eager to connect with like-minded individuals, industry professionals, and potential collaborators who share a passion for innovation and technology. Let's connect and explore how we can drive the future of engineering and data science together!
Grade: Completed 1st Semester
Grade: Completed 2nd semester
Grade: Completed 1st Semester
Grade: Completed 2nd semester