Aisha - Computer Basics Tutor - Wayne
1st lesson free
Aisha - Computer Basics Tutor - Wayne

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

Aisha

  • Rate Ksh. 4,530
  • Response 1h
  • Students

    Number of students Aisha has accompanied since arriving at Superprof

    3

    Number of students Aisha has accompanied since arriving at Superprof

Aisha - Computer Basics Tutor - Wayne
  • 5 (6 reviews)

Ksh. 4,530/hr

1st lesson free

Contact

1st lesson free

1st lesson free

  • Computer Basics
  • Computer Networks
  • software
  • Machine Learning
  • Cybersecurity

Experienced Machine Learning, Data Analysis, Data Structures, Algorithms & Informatics Tutor | 5 plus years of Teaching and Tutoring students for all levels

  • Computer Basics
  • Computer Networks
  • software
  • Machine Learning
  • Cybersecurity

Lesson location

Super Prof

Aisha is one of our best Computer basics tutors. They have a high-quality profile, verified qualifications, a quick response time, and great reviews from students!

About Aisha

I am a Computer Science graduate specialising in:

- DevOps automation,
- Cloud technologies, and
- Machine learning,

I have hands-on experience in:

- Programming,
- AI projects, and full-stack development.

I enjoy helping students understand technology concepts clearly while building practical skills that prepare them for academic success and future tech careers.

My experience includes:

- Cloud platforms (Azure, AWS),
- Containerisation (Docker, Kubernetes),
- CI/CD pipelines,
- Python programming,
- Data analysis, and
- Machine learning projects.
- UI/UX design,
- and AI-powered applications.

I have also worked on real-world web development,

I focus on making technical topics approachable and engaging, whether students are learning programming basics, preparing for computer science courses, or exploring AI and cloud computing.

Students commonly seek my support for:

- Python programming and coding fundamentals

- Machine learning and AI basics

- DevOps and cloud computing concepts

- Data analysis and technical project guidance

- Computer science coursework support

- Academic confidence in tech subjects

My goal is to help students learn technology with confidence while developing problem-solving skills and practical understanding.

Academic Background:

- Computer Science Graduate

- Specialisation in DevOps automation, AI, and cloud computing

- Ongoing projects in machine learning and full-stack development

Technical Skills & Expertise

- Python programming (data analysis, ML basics)

- Machine learning concepts and projects

- DevOps fundamentals and CI/CD pipelines

- Cloud computing (Azure, AWS basics)

- Data analysis tools (Pandas, NumPy, SQL)

Additional Support:

- Web development (HTML, CSS, React)

- Docker, Kubernetes, GitHub workflows

- Data visualisation and EDA

- Technical project mentoring

- UI/UX basics and design tools

Technical Experience

- Azure DevOps internship designing CI/CD pipelines and containerised deployments

- Web development experience building secure websites and improving performance

- UI/UX internship designing dashboards and improving user experience

- AI project development including image classification and malicious URL detection

Projects & Practical Work

- AI-powered malicious URL detection engine (~92% accuracy)

- CNN-based image classification system

- Real-time chat desktop application using Flutter & Firebase

- AI-powered research assistant project (ongoing)

Teaching Approach

Practical, hands-on learning
Concept clarity before complex coding
Real-world tech examples
Step-by-step coding guidance
Supportive learning environment

Who I Teach

- High school computer science students

- College/university students

- Students exploring AI, cloud, or data science

- Anyone building tech skills from scratch

Lesson Format

Online tutoring across the USA and internationally

- Interactive coding sessions

- Project-based learning available

- Flexible scheduling options

See more

About the lesson

  • Lower Primary
  • Upper Primary
  • Lower Secondary
  • +13
  • levels :

    Lower Primary

    Upper Primary

    Lower Secondary

    Senior School

    Tertiary

    University

    Adult Education

    Masters

    Doctorate

    MBA

    Pre-Primary

    Beginner

    Intermediate

    Advanced

    Professional

    Children

  • English

All languages in which the lesson is available :

English

Machine Learning, Data Structures and Algorithms (DSA) are the backbone of computer programming — they teach you how to think logically, write efficient code, and solve problems like a true developer. My lessons make these complex topics simple and enjoyable through visual explanations, coding examples, and practice problems.

We start from the basics and gradually move to advanced algorithmic thinking, ensuring you can apply what you learn in coding interviews, assignments, and projects. Informatics concepts are integrated throughout to help you understand how data is organized, processed, and optimized in real-world systems.

What You’ll Learn:

Core Data Structures: Arrays, Linked Lists, Stacks, Queues

Advanced Topics: Trees, Heaps, Graphs, Hash Tables

Algorithms: Searching, Sorting, Recursion, Divide & Conquer, Greedy, Dynamic Programming

Time & Space Complexity (Big-O Analysis)

Data Flow & Informatics Concepts (Data Management, System Flow, Databases)

Implementation in C++ and Python

Step-by-Step Problem Solving with Live Coding

My Teaching Approach:
Every lesson combines theory + visualization + coding practice. I explain the concept visually, then we code it together and analyze performance. You’ll learn how to pick the right data structure or algorithm for any problem and explain your logic with clarity — a crucial skill for academic and professional success.

See more

Rates

Rate

  • Ksh. 4,530

Pack prices

  • 5h: Ksh. 22,652
  • 10h: Ksh. 45,304

online

  • Ksh. 4,530/h

free lessons

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

  • 30mins

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