Progyadipta Naskar

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Robotics classes

5

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

3

Teaching Experience in detail in Data Science Classes

Teaching Experience – Data Science & AI/ML I have hands-on teaching experience in Artificial Intelligence, Machine Learning, and foundational Data Science concepts, where I focus on simplifying complex topics into practical, real-world understanding. I have been mentoring students (school-level to beginner college-level) in: Fundamentals of AI & Machine Learning Introduction to AI, real-world applications Types of Machine Learning (Supervised, Unsupervised) Basic model intuition (classification, regression) Programming for AI/ML Python fundamentals for data science Libraries: NumPy, Pandas, Matplotlib (intro-level) Writing simple ML scripts Beginner-Level Model Building Linear Regression, Logistic Regression (concept + implementation) Basic data preprocessing (cleaning, formatting datasets) Understanding datasets and features Hands-on Learning Approach Guiding students through small projects such as: Basic prediction models Introductory data analysis tasks Teaching via interactive sessions rather than theory-heavy lectures Teaching Methodology Step-by-step explanation using real-life analogies Visual and tool-based learning (Scratch, simple ML demos) Emphasis on concept clarity + practical implementation Additionally, I have experience designing structured learning paths for beginners, ensuring a smooth transition from basic programming → applied AI/ML concepts → project-based learning. My teaching also incorporates insights from industry-oriented learning, including concepts from the Google Cybersecurity Program, where I relate data-driven thinking and analytical approaches to AI/ML problem-solving.