Rudra Antil

I’m a second-year Mechanical Engineering student building a parallel foundation in Artificial Intelligence and Machine Learning. I’m actively self-learning AI & ML alongside my core mechanical engineering coursework, with the goal of combining engineering fundamentals and programming skills to deliver practical, data-driven results.

In my projects, I’ve built predictive models using Python, Pandas, NumPy, and Scikit-learn—cleaning and preparing real datasets, engineering features, and evaluating regression/classification performance using accuracy and error metrics. I also focus on exploratory data analysis to uncover trends and patterns and communicate findings with clear summary statistics and charts.

I’m especially interested in the intersection of mechanical systems and intelligent automation—like robotics and predictive maintenance—where I can apply both mechanical thinking and applied ML/data analysis to create solutions that work in the real world.