Ariana - Computer science tutor - Klemzig
Ariana - Computer science tutor - Klemzig

Ariana's profile and contact details have been verified by our team

Ariana

  • Rate R529
  • Response 1h
  • Students

    Number of students Ariana has accompanied since joining Superprof

    2

    Number of students Ariana has accompanied since joining Superprof

Ariana - Computer science tutor - Klemzig

R529/h

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  • Computer Science
  • Machine learning

Computer Science & Mathematics Graduate with 3+ Years of Machine Learning Experience in Adelaide or Remotely

  • Computer Science
  • Machine learning

Lesson location

About Ariana

I’m a Computer Science and Mathematics graduate educated in the United States, with over 3 years of experience in machine learning through academic research and applied projects. I’ve worked as both a Research Assistant and a Teaching Assistant.

My experience includes ML concepts, computer vision, large language models, biomedical applications, and exposure to robotics and computational geometry.

I’m originally from France and have experience in international academic settings.

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +13
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Undergraduate

    Masters

    Diploma

    Doctorate

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • French
  • English

Languages in which the lesson is available :

French

English

Lessons begin by identifying what is most needed by the student. This may include reviewing prerequisites, clarifying specific concepts, working through assignments, or preparing for exams. Based on this initial assessment, the depth, pace, and structure of the lesson are adjusted to match the student’s background and goals.

The teaching approach emphasizes understanding over memorization. Concepts are explained step by step, using intuition, examples, and problem-solving to make abstract ideas more approachable. When relevant, theory is connected to practical applications, including guided Python exercises or structured walkthroughs.

Lessons typically last one hour and can be adapted as needed. Support is offered for high-school and university students studying mathematics, computer science, or introductory machine learning. Background areas include foundational machine learning concepts, computer vision, large language models, biomedical applications, and exposure to robotics and computational geometry.

The goal of each lesson is to make complex ideas clear, manageable, and accessible while building confidence and strong foundations.

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Rates

Rate

  • R529

Package rates

  • 5h: R2645
  • 10h: R5290

online

  • R529/h

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