Balaji Rao K Mechanical design, Data Analysis, Machine learning
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As an effective teacher, my approach centers on active engagement and learner-centered pedagogy. I believe every student is unique, and the best way to foster understanding is by tailoring teaching methods to meet individual needs. Here are the key components of my teaching methodology:
Group discussions and collaborative projects.
Problem-solving exercises and case studies to develop critical thinking.
Simulations and role-playing to bring concepts to life.

Encourage students to ask questions and explore topics in depth. This approach promotes curiosity and helps students make connections between theoretical knowledge and real-world applications.

Utilizing digital tools (such as learning management systems, online simulations, or discussion boards) to make learning more accessible, collaborative, and engaging. This also helps in creating an inclusive classroom that supports diverse learners.

I use ongoing assessments, such as quizzes, discussions, and peer reviews, to gauge students’ understanding throughout the learning process. This feedback is intended to be constructive and used to guide improvement, not just for grading.

Subjects

  • Operations Research Beginner-Expert

  • Engineering drawing Beginner-Expert

  • Data analysis and visualization Beginner-Intermediate

  • Artificial neural network Beginner-Expert

Experience

  • Assistant professor (Sep, 2009–Jul, 2017) at Dr. T Thimmaiah institute of technology
    teaching, handling lab assignments

Education

  • Mechanical engineering (Jul, 2017–Jul, 2022) from National Institute of Technology Karnataka, Surathkal–scored 9.5 CGPA

Fee details

    ₹400–800/hour (US$4.72–9.43/hour)

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