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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since July 2020
Instructor since July 2020
Software Engineering - Java, C#, PHP, SQL, Python, Projects
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From 85.37 € /h
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(Please see the attachments in my profile for feedback and recommendations)
Hi, I am a professional Software Engineer currently working as a Web Specialist Engineering, a Computer Engineering Graduate from Queen Mary University of London. I have been teaching Maths, ICT/Computer Science, Data Analytics, Artificial Intelligence, Machine Learning, university computing/software/programming modules and mentoring GCSE, A’level, University students for more than 12 years. For feedback and recommendation please check my tutor profile.

My main focus is to make sure students achieve higher grades but also make them ready for the real-world applications. I teach a wide range of programming languages such as Python, Java, PHP, HTML, CSS, JavaScript, jQuery, Node.JS, MongoDB, reactjs, vueJs, C#, VB, Angular, Node, MySQL, MSSQL, PostgreSQL etc.

I've been helping GCSE, A'Level students as well as students from top universities such as Oxford, Imperial College, Queen Mary, Greenwich, UCL, King's college, Birkbeck, Waterloo etc. I can help you get ready for the exams, help with the assignments, projects, etc. As well as teaching students in UK, I have students from many other countries such as Malaysia, Russia, UAE, Switzerland, USA, Canada, etc.

If you are parents, whichever level is your children, I can provide extensive guidelines to help and achieve the targeted grade.

A few of my previous professional roles are:
1. Lead Application Developer - EB Trade
2. Software Engineer - Imperial College London
3. Web Application Developer - London School of Hygiene and Tropical Medicine (LSHTM)
4. Software Developer - Queen Mary University of London (QMUL)
Extra information
I have been teaching Mathematics, ICT/Computer Science, university computing modules and programming languages for more than 12 years. I can help with any requests, coursework/assignments, final year project etc.

My approach to Tutoring includes a range of strategies, but above all I aim to provide with a tailored programme that is best suited to individual needs. I interact productively with people from different ethnic age and backgrounds to find their individual need and supply material/resource accordingly. My approach to tutoring is always determined by an assessment of the student's needs and establishing realistic targets for achievement by asking them some of the basic questions that help me to understand their needs.
Location
location type icon
Online from United Kingdom
About Me
Hi, I am a Software Engineer by profession currently working at Imperial College London, a Computer Engineering Graduate from Queen Mary University of London. I have been teaching Maths, ICT/Computer Science, university computing/software/programming modules and mentoring GCSE, A’level, University students for more than 9 years. My main focus is to make sure students achieve higher grades but also make them ready for the real world applications. I teach a wide range of programming languages such as Python, Java, PHP, HTML, CSS, JavaScript, C#, VB, Angular, Node, MySQL, MSSQL, PostgreSQL etc. For feedback and recommendation please check my tutor profile.

I've been helping GCSE, A'Level students as well as students from top universities such as Queen Mary, Greenwich, UCL, King's college, Birkbeck, Waterloo etc. I can help you get ready for the exams, help with the assignments, projects etc. Please contact with any queries.
Education
BEng. Computer Engineering - Queen Mary, University of London
APMG Agile Project Management Foundation - QA
ServiceNow System Administration - ServiceNow
Science Background in GCSE and A'level equivalent with excellent results
Experience / Qualifications
I have been teaching Mathematics, ICT/Computer Science, university computing modules and programming languages for more than 10 years. I can help with any requests, coursework/assignments, final year project etc.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
English
Bengali
Urdu
Hindi
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
(Please see the attachments in my profile for feedback and recommendations)
Hi, I am a professional Software Engineer currently working as Web Specialist Engineering, a Computer Engineering Graduate from Queen Mary University of London. I have been teaching Maths, ICT/Computer Science, Data Analytics, Artificial Intelligence, Machine Learning, university computing/software/programming modules and mentoring GCSE, A’level, and University students for more than 11 years. For feedback and recommendation please check my tutor profile.

My main focus is to make sure students achieve higher grades but also make them ready for the real-world applications. I teach a wide range of programming languages such as Python, Java, PHP, HTML, CSS, JavaScript, jQuery, Node.JS, MongoDB, reactjs, vueJs, C#, VB, Angular, Node, MySQL, MSSQL, PostgreSQL etc.

I've been helping GCSE, A'Level students as well as students from top universities such as Oxford, Imperial College, Queen Mary, Greenwich, UCL, King's college, Birkbeck, Waterloo etc. I can help you get ready for the exams, help with the assignments, projects etc. As well as teaching students in UK, I have students from many other countries such as Malaysia, Russia, UAE, Switzerland, USA, Canada etc

If you are parents, whichever level is your children, I can provide extensive guidelines to help and achieve targeted grade.

A few of my previous professional roles are:
1. Lead Application Developer - EB Trade
2. Software Engineer - Imperial College London
3. Web Application Developer - London School of Hygiene and Tropical Medicine (LSHTM)
4. Software Developer - Queen Mary University of London (QMUL)
Read more
(Please see the attachments in my profile for feedback and recommendations)
Hi, I am a professional Software Engineer currently working as Web Specialist Engineering, a Computer Engineering Graduate from Queen Mary University of London. I have been teaching Maths, ICT/Computer Science, Data Analytics, Artificial Intelligence, Machine Learning, university computing/software/programming modules and mentoring GCSE, A’level, University students for more than 12 years. For feedback and recommendation please check my tutor profile.

My main focus is to make sure students achieve higher grades but also make them ready for the real world applications. I teach a wide range of programming languages such as Python, Java, PHP, HTML, CSS, JavaScript, jQuery, Node.JS, MongoDB, reactjs, vueJs, C#, VB, Angular, Node, MySQL, MSSQL, PostgreSQL etc.

I've been helping GCSE, A'Level students as well as students from top universities such as Oxford, Imperial College, Queen Mary, Greenwich, UCL, King's college, Birkbeck, Waterloo etc. I can help you get ready for the exams, help with the assignments, projects etc. As well as teaching students in UK, I have students from many other countries such as Malaysia, Russia, UAE, Switzerland, USA, Canada etc

If you are parents, whichever level is your children, I can provide extensive guidelines to help and achieve targeted grade.

Few of my previous professional roles are:
1. Lead Application Developer - EB Trade
2. Software Engineer - Imperial College London
3. Web Application Developer - London School of Hygiene and Tropical Medicine (LSHTM)
4. Software Developer - Queen Mary University of London (QMUL)
Read more
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One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
Practical explanations – step by step and adapted to your everyday life
Teaching modern methods for data analysis, modeling & interpretation
Long-term strategies for problem-solving & structured thinking
Flexible lessons in Bern or online – personal, competent & reliable

Why I can help you understand data science:
Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread:
How data tells stories, how you analyze it, and how you make smart decisions.

With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently.
Learn data analysis.
Analyze and model complex data sets – understandable, practical and with structure.
If you're ready to get to grips with data, I'm ready to guide you.
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This course is designed to introduce students aged 7 to 16 to the world of programming through two of the most widely used and industry-relevant languages: C++ and Python.

The class provides a structured, age-appropriate pathway into programming, whether the student is a complete beginner or already exploring coding through platforms like Scratch or Code.org. Emphasis is placed on understanding logic, building problem-solving skills, and writing real code in a supportive, project-based environment.

Taught by an engineering student with hands-on experience in both C++ and Python, this course empowers students to explore the power of code and build a strong foundation in computational thinking — essential for future studies in engineering, robotics, AI, or game development.
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Python is today one of the most widely used programming languages in the world, both in Data Science, Artificial Intelligence, Web Development and for task automation.
In this course, I will guide you step by step according to your level:

Beginner: basics of the language (variables, loops, conditions, functions).

Intermediate: data manipulation (Pandas, NumPy), file management, object-oriented programming.

Advanced: practical projects (data analysis, machine learning, automation, API, web scraping).

My goal is to make learning clear, practical, and motivating. You'll not only learn how to code in Python, but also how to structure your projects and apply your knowledge to real-life scenarios.
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This is not a class; it is the strategic starting point for your child's success in the digital future.

This 60-minute session is a premium diagnostic evaluation conducted by a Technology Educator with over 10 years of experience and specialized in SEN pedagogy. It is designed to go beyond simple tutoring:
This session is divided into three parts: Discovery, Diagnostic, and Deliverable.

1. Discovery & goal setting
- Technology Fluency Check
- The "Why" & The "Fear":
- SEN & Learning Style Review

2. Diagnostic & assessment
- The AI Myth Buster Test
- Prompt Engineering Trial
- The learning process
- Ethical Scenarios

3. Deliverable & Roadmap

3-Phase Roadmap: Upon completion, you will receive a Personalized Learning Roadmap detailing exactly:
The 3-5 priority AI concepts the student should master.
The safest and most age-appropriate AI tools for their needs.
A recommended coaching plan to build their confidence, creativity, and critical thinking.

Precise and specialized educational plan that guarantees your child will not only understand AI, but learn how to master it ethically and independently.
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This online programming class is designed for students who want to build real technical skills in computer science and web development — not just learn theory, but actually create and understand how systems work.

I teach:

• Python programming (fundamentals, logic building, problem-solving, data handling)
• JavaScript (core concepts, DOM manipulation, interactivity)
• CSS (styling, layout systems, responsive design)
• Website Development (front-end foundations and structure)
• WordPress Development (customization, site building, content management)
• UI/UX Fundamentals (design thinking, layout clarity, user experience principles)

Students learn how to think computationally, break down problems logically, and build structured solutions. Lessons are practical and project-based, meaning students don’t just watch — they build.

For beginners, we focus on strong foundations: understanding how code works, writing clean syntax, and developing confidence in debugging.
For intermediate learners, we move into structured projects such as creating simple websites, improving layout design, adding interactivity, and understanding how front-end components connect.

My approach emphasizes clarity, structure, and application. I help students understand not only what to type, but why it works — which is the difference between copying code and truly understanding it.

This class is suitable for:
• School students exploring computer science
• Beginners transitioning into tech
• Learners preparing for academic computer science courses
• Individuals interested in web development skills

All sessions are fully online, interactive, and tailored to the student’s pace and goals.
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This advanced course builds on programming fundamentals using Python (programming language) and is designed for students who want to deepen their programming knowledge.

The course continues from functions and introduces advanced programming concepts including object-oriented programming principles such as polymorphism, inheritance, abstraction, and encapsulation.

Students will also learn data handling techniques, working with Python libraries, and developing structured programs using complex loops and data collections.

The course covers practical implementation of nested loops, nested lists, tuples, and dictionaries, as well as an introduction to data structures and algorithmic thinking.

Additional topics include graphical user interface development using libraries such as Tkinter, along with introductory concepts in data science and machine learning using Python.

Teaching combines theoretical explanation with real coding exercises to help students develop strong practical programming skills.

• Review of programming fundamentals and functions
• Object-Oriented Programming (OOP) concepts
• Polymorphism, inheritance, abstraction, and encapsulation
• Data structures basics
• Nested loops and complex data handling
• Lists, tuples, and dictionaries
• Introduction to algorithms
• Working with Python libraries
• GUI development using Tkinter
• Introduction to data science and machine learning concepts
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