I am an experienced Data Science Trainer who teaches people how to understand and work with data in easy and practical ways. Along with teaching, I have worked in real companies where I used data to solve real-world problems and help teams make better business decisions. This hands-on industry experience helps me explain how data science is actually used in jobs and projects.
I’ve trained hundreds of students and working professionals through online sessions, covering tools like Python, AWS, Excel, SQL etc. I teach important Python libraries such as Pandas for data handling, NumPy for numerical operations, Matplotlib and Seaborn for data visualization, and Scikit-learn for machine learning. I also introduce TensorFlow and Keras for deep learning, depending on the learner's level.
My teaching style is simple, clear, and focused on helping learners build skills step-by-step. I use real-life examples, projects, and exercises so that learners can practice what they learn and feel confident applying it.
Whether you’re just starting your journey in data science or looking to advance your career, I aim to make your learning smooth, enjoyable, and useful. I also provide career guidance, project support, and help with interview preparation to ensure my students are job-ready.
Subjects
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AWS (Amazon Web Services) Beginner-Intermediate
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Data Science with Python Beginner-Expert
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AI ML Beginner-Expert
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Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert
Experience
No experience mentioned.