Ankita Teaching students from Class IV - Class XII
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I am Ankita Bung, an experienced educator with over 10 years of teaching expertise across school and college levels. I currently serve as a Computer Science, AI and ICT Teacher at Vidya Vinayalaya School (CBSE) and have previously worked as an Assistant Professor in the Computer Science Department at Mahatma Gandhi Institute of Technology (JNTU Hyderabad). My background also includes serving as a Computer and Coding Trainer at Access Infotech Training Institute.

I have extensive experience teaching a wide range of subjects, Mathematics, Science, Computer Science (Python, C, Java, AI/ML), and Social Studies covering students from Grade 4 to Grade 12. My approach emphasizes strong conceptual understanding, practical application, and individual attention to ensure students not only perform well academically but also develop critical thinking and problem-solving skills.

I offer both online and offline classes, though I specialize in personalized, one-on-one offline teaching to cater to each student’s pace and learning style. My goal is to make learning engaging, clear, and result-oriented, helping students gain confidence and excel in their studies.

Subjects

  • Maths Grade 4-Grade 10

  • Physics Grade 5-Grade 10

  • Social Science Grade 5-Grade 10

  • AI & ML Grade 6-Bachelors/Undergraduate

  • ICT (English medium) Grade 4-Grade 10


Experience

  • ICT Teacher Grade 4 - Grade 10 (Jun, 2022Present) at Vidya Vinayalaya School
    Currently, as a Computer Science and ICT Teacher at Vidya Vinayalaya School (CBSE), I handle lesson planning, interactive teaching, practical demonstrations, and student mentoring. I integrate technology to simplify concepts and regularly assess students to ensure conceptual clarity and improvement. I teach ICT, Networking, Python, Data Science and AI/ML to Students including Generative AI tools such as ChatGPT
  • Assistant Professor (Dec, 2016Apr, 2018) at Mahatma Gandhi University
    Assistant professor in computer science department
  • Computer and Coding trainer (Oct, 2013Jun, 2016) at ACCESS INFO TECH, BEGUM BAZAAR
    Worked as computer trainer in this training institute teaching coding and computer basics

Education

  • Bachelors in Education(B.Ed) (Oct, 2023Oct, 2025) from Rgr siddhanthi college of Education hyderabadscored A+
  • M.Tech (Aug, 2012May, 2014) from MARRI LAXMAN REDDY ENGE COLLEGEscored 85%

Fee details

    300500/hour (US$3.165.26/hour)

    Can vary basis on hourly to monthly and also based on the subject and customisations. Kindly contact me for your requirements


Courses offered

  • Python Training

    • 7000
    • Duration: 1 Month
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: English
    • Certificate provided: Yes
    Python Training – Beginner to Intermediate (For Grade 6–12 Students & Early Learners)

    This Python training program is designed to help young learners build a strong foundation in programming through simple, engaging, and practical lessons. The course follows a step-by-step approach that introduces core concepts, develops logical thinking, and enables students to apply Python in real scenarios.

    What students will learn:
    • Basics of programming and how Python works
    • Variables, data types, operators, and input/output
    • Conditional statements and loops
    • Functions and modular programming
    • Lists, tuples, dictionaries, and strings
    • Basic file handling
    • Simple games and mini-projects
    • Problem-solving and algorithmic thinking
    • Introduction to real-world applications (AI, automation, data handling)

    Teaching approach:
    • Concepts explained in simple, student-friendly language
    • Practical coding in every class
    • Worksheets, exercises, and revision tasks
    • Live guidance and doubt-clearing
    • Customized pace based on the student’s comfort and level
    • Optional project-based extension for interested learners

    Ideal for:
    • Students from Grade 4–10
    • Beginners with no programming background
    • Learners who want to strengthen logic and coding fundamentals
    • Students preparing for school ICT/CS curriculum or competitions

    Outcomes:
    By the end of the course, students will be able to write Python programs independently, think logically, and apply programming concepts to solve real problems. They will also build confidence to explore advanced areas like AI, coding competitions, and school projects.
  • Artificial Intelligence Training including Generative AI

    • 15000
    • Duration: 2 Months
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    AI Training – Foundations of Artificial Intelligence & Practical Applications (For Grade 6 – Graduate Students)

    This course introduces young learners to the world of Artificial Intelligence through simple explanations, hands-on activities, and real-life examples. It focuses on building strong fundamentals in logic, data, and problem-solving—skills essential for understanding AI and its applications in today’s world.

    What students will learn:
    • What Artificial Intelligence is and how it works
    • Types of AI – rule-based, machine learning, deep learning
    • Understanding data: how computers learn from examples
    • Basics of machine learning concepts (training, testing, accuracy)
    • Classification and prediction through easy, visual examples
    • Using simple AI tools to build models
    • Introduction to image, text, and voice-based AI
    • Ethical and responsible use of AI
    • Mini-projects like:
    – Predicting outcomes using simple datasets
    – Image recognition using beginner-friendly tools
    – Creating chat-based or rule-based AI systems

    Teaching approach:
    • AI concepts taught using stories, visuals, and real-world scenarios
    • No heavy math; focus on intuition and understanding
    • Interactive tools and activities for hands-on experience
    • Doubts cleared in real time with guided practice
    • Encourages curiosity, creativity, and critical thinking
    • Structured notes and mini-assignments provided

    Ideal for:
    • Students from Grade 6 - Graduate
    • Beginners who want to explore AI in a simple, guided way
    • Learners preparing for school AI curriculum (CBSE/ICSE)
    • Students interested in technology, coding, or STEM fields

    Outcomes:
    By the end of the course, students will understand key AI concepts, build small AI projects, and confidently discuss how AI is used in everyday life—laying the foundation for advanced learning in AI, ML, and Python programming.
  • Data Science and Machine Learning

    • 15000
    • Duration: 2 Months
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    Data Science & Machine Learning Training – Foundations to Practical Projects (For Grade 7–12 Students & Beginners)

    This course introduces students to the fundamentals of Data Science and Machine Learning using simple explanations, visual tools, and hands-on exercises. It helps learners understand how data-driven decisions are made and how computers learn patterns through examples.

    What students will learn:
    • What Data Science is and why it matters
    • Understanding datasets: rows, columns, features, labels
    • Data cleaning and preprocessing (taught in a simplified, intuitive way)
    • Basics of statistics used in Data Science
    • Introduction to Machine Learning concepts
    – Training vs. testing
    – Features and labels
    – Model evaluation
    • Types of ML models:
    – Classification
    – Regression
    – Clustering (basic idea)
    • Hands-on ML activities using beginner-friendly tools
    • Visualizing data using simple graphs
    • Mini-projects such as:
    – Predicting grades or scores
    – Identifying patterns in simple datasets
    – Making a basic recommendation system
    – Image or text classification using guided platforms

    Teaching approach:
    • Concepts explained using real-life examples (sports, school data, shopping, etc.)
    • No complex math—focus on intuition and understanding
    • Interactive, tool-based exercises to build confidence
    • Step-by-step guidance with small tasks after every topic
    • Doubt clearing and personalized support
    • Structured notes, worksheets, and project templates provided

    Ideal for:
    • Students in Grades 7–12, Graduates, Beginners
    • Beginners with interest in AI, Data Science, or coding
    • Learners following CBSE/ICSE AI/DS curriculum
    • Students preparing for tech competitions or advanced CS pathways

    Outcomes:
    By the end of the course, students will understand how data is collected, analyzed, and used to build Machine Learning models. They will complete small DS/ML projects, learn to think analytically, and develop confidence to explore advanced areas like AI, Python programming, and model building.

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