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KRITIKA
- Rate ₹3,000
- Response 1h

₹3,000/hr
1st class free
- Basic computer
- Information Technology
- Machine Learning
Learn Computer Science, Neural Networks, and Machine Learning from a UGC NET qualified engineer dedicated to scoring university ranks and top grades.
- Basic computer
- Information Technology
- Machine Learning
Class location
-
At KRITIKA 's house : Varanasi
-
About KRITIKA
Hello! I am a dedicated Computer Science educator and researcher with a passion for helping university students master complex technical concepts and achieve top academic performance.
My Background & Credentials:
Top Academic Record: Graduated with a 9.67 CGPA in Computer Engineering, securing an 8th university rank.
Qualified Educator: UGC NET qualified in Computer Science, certifying strong foundational knowledge across the university curriculum.
Research Experience: Conducted advanced Machine Learning and Deep Learning research at the Defense Institute of Advanced Technology (DIAT), specializing in Convolutional Neural Networks, DCGANs, and Computer Vision.
Industry Experience: Worked as an Associate Support Engineer, troubleshooting complex technical infrastructure and system-level issues prior to higher escalations.
Why I Teach:
Having navigated rigorous academic environments and competitive exams myself, I know that subjects like Neural Networks, Machine Learning, and core Computer Science can feel overwhelming without the right guidance. I love breaking down complex mathematical algorithms into intuitive, practical logic so students can build true mastery, excel in their coursework, and earn top university grades.
About the class
- All Levels
- English
- Japanese
- Hindi
- +1
All languages in which the class is available :
English
Japanese
Hindi
Marathi
My teaching approach blends rigorous academic theory with hands-on practical implementation. Having achieved a 9.67 CGPA in Computer Engineering, qualified UGC NET, and conducted specialized research in Machine Learning and Deep Learning, I know exactly what it takes to master complex subjects and secure top university ranks.
Target Audience:
My classes are designed specifically for undergraduate and postgraduate university students, as well as aspiring computer science professionals seeking conceptual clarity or high academic scores.
Teaching Methodology & Techniques:
Concept First: Breaking down intricate topics into intuitive mental models (e.g., understanding Neural Networks from basic calculus to PyTorch architecture).
Code & Application: Moving directly from theoretical equations to live Python code, debugging, and framework implementation.
Exam & Rank Strategy: Structured techniques for answering university exam questions concisely, handling university assessments, and solving competitive problems.
Class Structure:
Core Concept Discussion (20 mins): Interactive breakdown of theoretical foundations and mathematical intuition.
Practical Walkthrough (25 mins): Live coding, visual diagrams, or problem-solving step-by-step.
Q&A & Custom Guidance (15 mins): Addressing specific student doubts, assignment review, or university exam preparation strategies.
Whether you are struggling with core Computer Science subjects, aiming for a university rank, or mastering Advanced Machine Learning and Neural Networks, my sessions are tailored to ensure deep understanding and top performance.
Rates
Rate
- ₹3,000
Pack prices
- 5h: ₹15
- 10h: ₹30
free classes
This first free class with KRITIKA will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
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