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Kunal DarganMathematics, 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, 2019–Present) at Indian institute of technology delhi
Senior Software Engineer (Dec, 2017–Feb, 2019) at Aitoe Labs
- Machine Learning systems engineer - Research and Development of Patented Technology - Cryptography - Computer Vision
Education
MS with Research (Jun, 2020–now) from Indian Institute of Technology (IIT), Delhi
B.Tech Computer Science (Jun, 2013–Jun, 2017) from University of Delhi–scored 85
Fee details
₹400–800/hour
(US$4.72–9.43/hour)
- Basics of subjects can be availed at base - Special topics and advanced courses full fee - Need based