Ayra - Computer programming tutor - Pune
1st lesson free
Ayra - Computer programming tutor - Pune

Ayra's profile, diploma and contact details have been verified by our experts

Ayra

  • Rate 110 GHS
  • Response 4h
  • Students

    Number of students Ayra has accompanied since arriving at Superprof

    1

    Number of students Ayra has accompanied since arriving at Superprof

Ayra - Computer programming tutor - Pune
  • 5 (4 reviews)

110 GHS/hr

1st lesson free

Contact

1st lesson free

1st lesson free

  • Computer programming
  • Python
  • C
  • SQL
  • Artificial Intelligence

Programming Languages & Real-World Applications: Python, Java, C, SQL, AI/ML, Cybersecurity and Quantum Computing

  • Computer programming
  • Python
  • C
  • SQL
  • Artificial Intelligence

Lesson location

Recommended

Ayra is a respected member of our tutor community. She is highly recommended for her commitment and the quality of her lessons. An excellent choice to progress with confidence.

About Ayra

I am a third-year B.Tech student in Computer Science and Engineering, specializing in Cybersecurity, with a keen interest in programming, AI/ML, quantum computing, cryptography, and quantitative finance. My approach to teaching combines conceptual clarity, logical reasoning, and practical application, with an emphasis on understanding not just how code works, but why it works.

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About the lesson

  • Primary school
  • Junior high school
  • SHS 1
  • +20
  • levels :

    Primary school

    Junior high school

    SHS 1

    SHS 2

    SHS 3

    BTS

    University education

    Adult Education

    Facultate (Licență)

    Master's degree

    Higher national diploma

    Doctor of philosophy

    Other

    GDL

    Qualified Lawyer Transfer Scheme

    MBA

    Pre school

    Beginner

    Intermediate

    Advanced

    Professionel

    Others

    Child

  • English

All languages in which the lesson is available :

English

My online sessions are designed to build strong programming fundamentals and extend them into practical applications across computer science and emerging technologies. The content is tailored to individual goals, existing knowledge, and learning pace.

Python Programming: Syntax, variables, data types, conditional statements, loops, functions, strings, lists, tuples, dictionaries, file handling, object-oriented programming, exception handling, modules, libraries, and problem-solving. For advanced beginners, sessions can extend to data analysis, automation, and introductory machine learning.

C Programming: Data types, operators, control flow, functions, arrays, strings, pointers, structures, memory concepts, and implementation of fundamental algorithms.

Java Programming: Core Java, object-oriented programming, classes and objects, inheritance, polymorphism, interfaces, exception handling, collections, and basic application development.

SQL and Databases: Database fundamentals, table design, keys, constraints, filtering, joins, aggregate functions, subqueries, views, normalization, and relational database concepts.

Data Structures and Algorithms: Arrays, linked lists, stacks, queues, searching, sorting, recursion, algorithm design, time and space complexity, and structured problem-solving.

Artificial Intelligence and Machine Learning: Python libraries, data preprocessing, exploratory data analysis, fundamental statistics, introductory machine learning algorithms, model training, and evaluation.

Cybersecurity and Cryptography: Networking fundamentals, operating system concepts, Python scripting, security automation, encryption and decryption, classical and modern cryptographic concepts, and introductory security exercises in controlled environments.

Quantum Computing: Mathematical foundations, qubits, quantum states, quantum gates, circuits, introductory quantum algorithms, and practical experimentation with Python-based frameworks such as Qiskit.

Quantitative Finance — Introductory: Probability, statistics, financial mathematics, time-series fundamentals, Python-based data analysis, and introductory quantitative modelling.

Sessions combine conceptual explanations, worked examples, coding practice, and application-oriented exercises. LaTeX-based notes are provided for structured learning and revision, alongside assignments and personalised doubt-clearing where appropriate. Scheduling is flexible, subject to mutual availability and time-zone differences.

The objective is to develop independent problem-solving ability, sound technical understanding, and the confidence to implement concepts rather than merely memorise syntax.

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Rates

Rate

  • 110 GHS

Pack prices

  • 5h: 550 GHS
  • 10h: 1100 GHS

free lessons

The first free lesson with Ayra will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 1hr

online

  • GHS110/h

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