Prathish Deivendiran

My lessons are designed to be engaging journeys of discovery, where complex concepts in Artificial Intelligence, Data Science, and Machine Learning are transformed into clear, practical knowledge. Each session is carefully structured to strike the right balance between theory and hands-on practice, ensuring that students don’t just understand the subject, but can also apply it in the real world.

The format I follow begins with simplifying tough ideas into relatable examples. From there, I guide students through live coding exercises, demonstrating how powerful tools like Python, TensorFlow, scikit-learn, Pandas, and OpenCV can bring abstract ideas to life. I believe in “learning by doing”, so projects play a central role—whether it’s building a real-time sign language detector, forecasting cloud resource usage with deep learning, or creating data-driven dashboards. These projects not only strengthen technical expertise but also help students build an impressive portfolio that stands out in today’s competitive world.

Beyond coding, my lessons emphasize critical thinking, creativity, and innovation. I encourage students to experiment, ask bold questions, and look at problems from multiple perspectives. With my background as a Machine Learning Engineer Intern at Nife.io, where I worked on production-level AI systems, I bring real industry insights that connect classroom learning with workplace expectations.