Arvind

I teach Machine Learning and Python, with a strong focus on practical applications in data science. With over 13 years of experience in the data science field, I bring a wealth of real-world knowledge to my teaching. For the past 2 years, I’ve been working as a freelancer, helping students and professionals enhance their skills in Python, data science, and machine learning.

My academic qualification includes a Master of Arts (M.A.), and while my degree may seem unconventional for this field, my professional journey and extensive hands-on experience have shaped my expertise. Over the years, I’ve successfully implemented machine learning models, performed data analysis for various industries, and delivered impactful results through data-driven insights.

In my teaching, I follow a structured and practical approach. Each session includes a clear lesson plan that balances theory with hands-on practice. I believe the best way to learn machine learning and Python is through real-world projects, so I include coding exercises, problem-solving sessions, and project-based learning in my courses.

I make my classes interactive by using a combination of PPT presentations, whiteboard explanations, and online labs for live coding. This ensures students not only understand the concepts but can also implement them effectively. To strengthen learning, I provide detailed study materials, theory documents, practice papers, and mock tests. These resources help students revise and assess their progress consistently.

I conduct classes both online and offline, depending on what works best for my students. Online sessions are designed to replicate the classroom experience as closely as possible, with live discussions and practical demonstrations.

What drives me as a trainer is the opportunity to empower learners with industry-relevant skills. Seeing my students gain confidence in writing Python code, applying machine learning techniques, and analyzing data gives me immense satisfaction. My ultimate goal is to make complex concepts simple and help students become job-ready in the ever-growing field of data science.