Chandra kumar Intermediate level Math & Physics Tutor
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I am a passionate and results-oriented tutor helping intermediate students develop a strong foundation and excel in math and physics.
ways to approach the learning:
1)Deep Subject Matter Expertise
2)Tailored Learning Approach
3)Building Confidence
4)Engaging Learning Environment
5)Effective Communication
6)Proven Track Record
7)Flexible SchedulingMotivational Support
I'm confident I can be the right tutor to help you unlock your full potential in math and physics. Let's schedule a free consultation to discuss your specific needs and goals!
Project-based learning
Students work together to solve a problem using technology and develop their problem-solving skills.
Personalized learning
Students learn at their own pace and have individual goals and learning preferences
Collaborative learning
Students work in groups to enhance their social and communication skills.
Inquiry-based learning
Students follow methods similar to scientists to explore topics they are interested in.

Blended learning
A combination of online and offline teaching methods that reinforce students' learning
Gamified learning
Students can experience healthy competition, creative and logical thinking, and social interactions.

Subjects

  • Maths & Reasoning Beginner-Expert

  • Data Analytics Beginner-Expert

  • Python 3 Grade 7-Bachelors/Undergraduate

  • Linux Administration Grade 10-Bachelors/Undergraduate

  • Maths (CBSE) Class 12

  • Physics (10th Class)

Experience

  • tutor (Jun, 2023–Feb, 2024) at ashu technologies
    Teaching Python and maths to students in physical mode
    institute located in Ameerpet.
  • NLP engineer (May, 2023–Present) at weaveroo
    tudy and transform data science prototypes
    Design NLP applications
    Select appropriate annotated datasets for Supervised Learning methods
    Use effective text representations to transform natural language into useful features
    Find and implement the right algorithms and tools for NLP tasks
    Develop NLP systems according to requirements
    Train the developed model and run evaluation experiments
    Perform statistical analysis of results and refine models
    Extend ML libraries and frameworks to apply in NLP tasks
    Remain updated in the rapidly changing field of machine learning
  • data science tutor (Dec, 2022–May, 2023) at innodataticts
    Designing ML systems.
    Researching and implementing ML algorithms and tools.
    Identifying differences in data distribution that affect model performance.
    Verifying data quality.
    Performing statistical analysis.
    Running machine learning training and tests.
    Using results to improve models - hyperparameter optimization.
    Developing machine learning apps according to client requirements.

Education

  • btech (Jul, 2019–May, 2023) from VIT–scored 82

Fee details

    ₹180–260/hour (US$2.11–3.04/hour)

    depends on the place and student capability also

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