Aneeza holds a PhD in Economics and an MPhil, and she has published research on human capital and remittance economics. She lectured at a top-ranked university…
4.9 out of 5 average rating20,000+ hours
Muhammad Fakhr E Alam
Tuitional Certified Tutor · Computer Science, Programming & Data Science Specialist
5+ years experience • Flexible scheduling
IGCSEGCSEA-LevelIB DiplomaProfessionalComputer Science
About the tutor
Muhammad Fakhr E Alam graduated in Computer Science from Liaoning University in China and has spent over 5 years working in data analytics, AI and technical project management for international firms including Hudson in Australia and FOR.co in Finland. He has taught more than 20,000 hours and guided over 50 student projects.
His practical work building automation scripts, AI chatbots and machine learning models is what he brings into lessons, alongside the tools students meet again at university. He is deliberate about the gap between knowing the theory and being able to build something, and he closes it with projects rather than notes. Most students finish with work they can point to.
Subjects & levels taught
Computer Science
Level Exam boards Syllabus code IGCSE CAIE, Edexcel 0478, 4CP0 GCSE AQA, OCR 8525, J277 A-Level CAIE, AQA, OCR 9618, 7517, H446 IB Diploma IB SL / HL Programming
- IGCSE
- GCSE
- A-Level
- Professional
Data Science & Analytics
- Professional
Mathematics
Level Exam boards Syllabus code IGCSE CAIE, Edexcel 0580, 4MA1 GCSE AQA 8300
Looking for a specific subject? Browse every subject we tutor.
Education
BS in Computer Science from Liaoning University, China. Professional experience in data analytics, AI and project management at international firms, having implemented cost-saving automation and AI solutions and delivered projects using Python, Zendesk and machine learning models, with experience in agile methodologies and stakeholder reporting.
Teaching style
Fakhr teaches hands-on and by project, preparing students for both the exam and the technical work beyond it.
Personalised coding exercises
Real project scenarios and exercises tailored to each student's level and actual interests.
Past paper walkthroughs
Step-by-step work through past questions and practical assignments, specific to the exam board.
Modern tools and platforms
Interactive sessions using Python, Jupyter, Power BI and more for genuinely hands-on learning.
Algorithmic thinking
Problem-solving skills built for both the examination and a future technical career.
Project portfolio building
Students finish with real projects they can show in university applications.
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