Sangeetha A.

Data Science and Machine Learning Tutor | Beginner-Friendly, Practical Learning
I have a background in applied research, having worked as an Academic and Research Associate at IIM Bangalore. My experience includes working with data, analytical problem-solving, statistical concepts, and interpreting findings to derive meaningful insights.
I am passionate about making Data Science and Machine Learning easier to understand, especially for students and beginners who are new to the field.
My approach is to explain concepts from the fundamentals, connect theory with practical examples, and help learners understand not just how a technique works, but why and when it should be used.
I can help beginners build their understanding of:
* Python programming fundamentals for Data Science
* Statistics and probability for data analysis
* Data cleaning and exploratory data analysis
* Features, labels, datasets, and data preprocessing
* Machine Learning fundamentals, including regression and classification
* Model evaluation and the basics of interpreting results
* The connections between statistics, data analysis, Machine Learning, and AI
I believe in patient, structured, and interactive learning, with practical exercises that help students build confidence and develop problem-solving skills.
Whether you are a college student exploring Data Science, a beginner preparing for a technical career, or a learner who finds Machine Learning concepts difficult, I aim to make your learning journey clearer and more approachable.
Academic and Research Associate — IIM Bangalore
Worked in an applied research environment involving data-driven problem-solving, analytical thinking, and interpreting research findings. This experience helped me develop an appreciation for working systematically with data and understanding how analytical methods support real-world decisions.
I also enjoy informally explaining technical concepts and helping others understand unfamiliar topics. I bring this same approach to tutoring, focusing on clear explanations, foundational understanding, and practical examples.