1st lesson free
Usman
- Rate UGX 127,394
- Response 1h
UGX 127,394/hr
Contact
1st lesson free
- Maths
- Statistics
- Algorithms
- Computing
- Quantitative methods
Lead Data Scientist with 7+ Years Experience Teaches Computer Science, Algorithms, Statistics, and Maths in London and Online
- Maths
- Statistics
- Algorithms
- Computing
- Quantitative methods
Lesson location
About Usman
I am a Lead Data Scientist with over 7 years of high-level industry experience, holding an MSc in Data Science & Analytics from Brunel University London and a BSc in Software Engineering with a specialisation in Artificial Intelligence. As the Head of Data Science Professional Services at a leading London analytics consultancy, my daily work involves architecting complex AI solutions, designing predictive models, and translating sophisticated mathematical and algorithmic concepts for Fortune 50 enterprises and tier-1 banks.
Why Learn With Me?
Proven Industry Expertise: I don't just teach theory from a textbook; I apply advanced statistics, linear algebra, Python programming, and data structures daily to solve high-stakes problems for global clients
Clear & Adaptable Communication: My career is built on making complex technical ideas easy to digest. Having spent years presenting machine learning frameworks to non-technical executives and mentoring junior data science teams, I excel at breaking down intimidating concepts into clear, intuitive steps.
Academic & Professional Success: Having navigated rigorous software engineering and data science degree programmes, published research, and completed executive training at MIT Sloan, I bring a disciplined, structured, and goal-oriented approach to every lesson.
My Commitment to You:
Whether you are a GCSE or A-Level student working towards top exam grades, a university student tackling advanced modules in statistics or computer science, or a professional building practical coding and data skills, my aim is to replace confusion with confidence. I provide a structured, supportive, and engaging learning environment where no question is too small, complex ideas become simple, and measurable progress is made in every single session.
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About the lesson
- Primary
- Secondary
- Tertiary
- +7
levels :
Primary
Secondary
Tertiary
Adult Education
Masters
Diploma
PhD (Doctor of Philosophy)
Post-Graduate Diploma in Legal Practice
MBA
Early childhood education
- English
All languages in which the lesson is available :
English
Teaching Approach & Methodology
My tutoring philosophy focuses on bridging the gap between theoretical knowledge and practical application. Having spent over 7 years delivering complex data science and AI transformation projects for Fortune 50 enterprises, I help students understand why concepts matter rather than just memorising formulae.
- Concept Decomposition: I break down dense theoretical subjects—such as machine learning algorithms, complex statistical distributions, or advanced calculus—into manageable, intuitive core concepts.
- Active Problem-Solving: Lessons are highly interactive. Rather than passive lecturing, we move quickly from step-by-step demonstrations to student-led problem-solving, identifying knowledge gaps in real time.
- Industry & Real-World Context: I leverage real-world examples from software development, predictive analytics, and enterprise data pipelines to make abstract computer science and statistics topics tangible.
- Exam & Assessment Strategy: For GCSE, A-Level, and University modules, we focus heavily on marking criteria, past paper techniques, algorithmic efficiency analysis (Big O), and clean code practice.
Typical Lesson Structure & Length Duration:
Standard lessons run for 60 minutes, which provides an ideal balance for structured learning and focused practice. Extended 90-minute or 2-hour sessions are available for intensive preparation, complex coding projects, or university-level assignment walkthroughs.
Warm-up (5–10 mins): Quick review of previous material or a diagnostic problem to test retention.
Core Topic Breakdown (20–25 mins): Interactive explanation of new concepts using visual aids, digital whiteboards, or live coding environments.
Guided Practice (20–25 mins): Hands-on problem-solving or coding exercises with real-time feedback and guidance.
Wrap-up & Action Plan (5 mins): Summary of key takeaways and setting structured practice tasks for the next session.
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Rates
Rate
- UGX 127,394
Pack prices
- 5h: UGX 635
- 10h: UGX 1270
free lessons
The first free lesson with Usman will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- UGX 127,394/hr
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