Kunal Dargan Mathematics, Computer Science, Machine Learning
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Method oriented
Basics
No cramming
Competition experience
Best resources
AIR rank 51 in JEST exam by DST and IISc, 2020
Exams Qualified NTSE, JEE, GATE
Methodology :
1) Virtual teaching with white board experience, videos and graphics for review.

2) Teacher by desire. In to make student learn from the first person perspective the elegant derivations, proofs and connections with real life applications.

3) Expert level focus on getting student among the best in trade.

Philosophy :
Compounding effect of continous effort
And
Aim for the sky.
Encourages discussions.
Method oriented
Basics
No cramming
Competition experience
Best resources
AIR rank 51 in JEST exam by DST and IISc, 2020
Exams Qualified NTSE, JEE, GATE
Methodology :
1) Virtual teaching with white board experience, videos and graphics for review.

2) Teacher by desire. In to make student learn from the first person perspective the elegant derivations, proofs and connections with real life applications.

3) Expert level focus on getting student among the best in trade.

Philosophy :
Compounding effect of continous effort
And
Aim for the sky.
Encourages discussion

Subjects

  • Computer Science and Engineering Beginner-Intermediate

  • C and C++ Beginner-Expert

  • Computer Vision Beginner-Intermediate

  • Mathematics & Statistics Beginner-Expert

  • Science (CBSE) Grade 8-Grade 12


Experience

  • Research Assistant (Mar, 2019Present) at Indian institute of technology delhi
  • Senior Software Engineer (Dec, 2017Feb, 2019) at Aitoe Labs
    - Machine Learning systems engineer
    - Research and Development of Patented Technology
    - Cryptography
    - Computer Vision

Education

  • MS with Research (Jun, 2020now) from Indian Institute of Technology (IIT), Delhi
  • B.Tech Computer Science (Jun, 2013Jun, 2017) from University of Delhiscored 85

Fee details

    400800/hour (US$4.729.43/hour)

    - Basics of subjects can be availed at base
    - Special topics and advanced courses full fee
    - Need based


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