Sudhanshu Kumar Student
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I am a Computer Science undergraduate with a strong interest in teaching Machine Learning, Deep Learning and Data Structures in a clear and beginner-friendly way. I focus on building conceptual understanding instead of rote learning, because most students struggle not with coding but with intuition behind the algorithms.

In Data Structures (Java), I teach by visualising how memory and logic actually work — why recursion works, how stack frames form, why time complexity grows, and how to approach problems instead of memorising patterns. My goal is to make students confident enough to solve unseen problems on their own.

For Machine Learning and Deep Learning, I explain mathematics in simple language. Rather than directly jumping into libraries, I start from the idea — distance, similarity, optimisation, gradients — and then connect it to algorithms like KNN, Logistic Regression, Decision Trees and Neural Networks. I also guide students in understanding why a model fails, overfits or underfits, which is where most learners get confused.

I have worked on practical projects including classification models and model integration into web interfaces, so I can help students move beyond theory into implementation. I am patient while teaching and comfortable handling beginner doubts, especially for students who feel mathematics or coding is difficult.

My aim as an instructor is to make students independent problem solvers rather than passive learners.

Subjects

  • Artificial Intelligence Intermediate

  • Data structure (Java) Intermediate

  • Prompt engineering Grade 1-Bachelors/Undergraduate

  • Math (10+2)

  • Machine and Deep Learning project Intermediate

Experience

  • Tutor (Oct, 2022–Present) at 02 year experience as subject matter expert Chegg

Education

  • B.Tech (Oct, 2022–now) from Cochin university of science and technology, kochi–scored 9.67

Fee details

    ₹300–700/hour (US$3.16–7.37/hour)

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