Shubh Sankhyadhar Computer science, Programming, Mathematics, BG
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I am a Computer Science and Mathematics teacher with 4+ years of teaching experience for CBSE and ICSE students from Classes 9 to 12. I focus on making concepts simple, logical, and easy to understand so that students can build strong fundamentals instead of just memorizing answers.

I teach subjects like Computer Science, Python, Data Structures, and Mathematics. My classes are interactive and focused on concept clarity, problem-solving, and practical understanding. I regularly use examples, real-life applications, and step-by-step explanations to help students feel confident in the subject.

Many students initially come with fear or confusion regarding programming and mathematics, but my approach is to make them comfortable with the subject and gradually improve both their understanding and performance. I also guide students with assignments, exam preparation, revision strategies, and doubt solving in a structured manner.

Along with teaching, I have also worked on projects related to Artificial Intelligence and Machine Learning, which helps me introduce students to modern technology concepts in an interesting and beginner-friendly way.

My aim as a teacher is to create a positive learning environment where students feel free to ask questions, think independently, and genuinely enjoy learning.

Subjects

  • Mathematics (CBSE) Grade 8-Grade 10

  • Bhagvad Gita Beginner-Intermediate

  • Computer Science (CBSE) Grade 8-Masters/Postgraduate

  • Computer Science (ICSE) Grade 9-Grade 12

  • Mathematics (10th)

Experience

  • Machine learning and web application intern (Jan, 2025–Apr, 2026) at Swift tools
    Built and deployed end-to-end machine learning web applications using Python, covering the full pipeline from data preprocessing to model deployment.
    Implemented ML workflows including data cleaning, feature engineering, model training, and evaluation.
    Integrated trained models into web-based applications to deliver functional, user-facing solutions.
    Focused on building scalable and practical ML systems aligned with real-world use cases.
  • Computer science and Mathematics teacher (Sep, 2024–May, 2026) at GSP TUTORIALS
    Taught Computer Science, AI and Mathematics to students from Classes 9 to 12 (CBSE and ICSE), focusing on conceptual clarity and problem-solving.
    Delivered structured instruction in Python, Data Structures, and programming fundamentals.
    Improved student performance by 35–40 percent through targeted assessments, feedback, and revision strategies.
    Designed board-aligned lesson plans integrating practical and analytical learning approaches.
    Developed strong ability to simplify complex technical concepts into intuitive explanations.
  • Research and Data science intern (Nov, 2023–May, 2024) at (University of Delhi)
    Worked on digitization and structuring of 100 plus years of institutional data for the “100 Convocations of University of Delhi” initiative.
    Applied machine learning techniques to organize and process large-scale historical datasets, improving data accessibility and usability.
    Designed data processing workflows for cleaning, structuring, and categorizing archival records.
    Contributed to transforming unstructured historical data into structured, analyzable formats.
    Gained hands-on experience in data handling, preprocessing, and applying ML concepts in real-world research settings.
  • Student mentor (Jul, 2022–Mar, 2024) at Acharya Narendra Dev College (Delhi University) New Delhi
    Mentored juniors on AI/ML projects.
  • Computer science and Mathematics teacher (Jan, 2022–May, 2024) at Krishna Tutorials
    Taught Computer Science and Mathematics to students from Classes 9 to 12 (CBSE and ICSE), focusing on conceptual clarity and problem-solving.
    Delivered structured instruction in Python, Data Structures, and programming fundamentals.
    Improved student performance by 35–40 percent through targeted assessments, feedback, and revision strategies.
    Designed board-aligned lesson plans integrating practical and analytical learning approaches.
    Developed strong ability to simplify complex technical concepts into intuitive explanations.

Education

  • MCA (Aug, 2024–May, 2026) from University of Allahabad, Allahabad–scored 9.01 CGPA
  • B.Sc.(Honors) Computer science (Sep, 2021–Jun, 2024) from University of Delhi–scored 8.6 CGPA
  • Higher Secondary (Apr, 2020–Apr, 2021) from Bal Vidya Mandir Senior Secondary School, Sambhal–scored 95.6%
  • Secondary (Apr, 2018–Apr, 2019) from Bal Vidya Mandir, Sambhal–scored 95.6%

Fee details

    ₹300–700/hour (US$3.16–7.37/hour)

    Fee can vary depending upon the subject and needs.

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