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Seit Oktober 2023
Lehrer seit Oktober 2023
Mathematics and Statistics (A-level, GCSE, pre-GCSE)
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Von 41.41 $ /Std
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Preparing for university? Just need to pass your GCSE? Or simply want to brush up on maths pre-GCSE?

My teaching method, if to be summarised in one word, is pragmatic. The modern syllabus contains a lot of "noise" and explanations that often over-complicate or provide a single style for explaining abstract concepts. I provide different views, catered to you, to help you understand that concepts and give you the tools to solve problems independently. You will not be spoon-fed, you will not be left to your own devices, you will receive an honest and effective framework to approach mathematical problems for key pre-university exams in Mathematics and Statistics.

Having taught kids as young as 10 all the way up to undergraduate students, I have experience with various age groups and topics and can shape my approach to best suit the student.
Ort
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Beim Schüler zu Hause :
  • In der Umgebung von Chelsea, Vereinigtes Königreich
Über mich
"Academically sound and personable"
"Pragmatic, honest, and very practical in teaching style and structure"
"Helped me overcome my fear of being wrong, which helped me be correct a lot more!"

These are some reviews that were left by my students in the past which I think best describe my approach and goal in teaching. Mathematics is a polarising subject that leaves many disliking the study and almost scared of engaging, that is something I seek to dispel.

Regardless of what examination board provides the exam, mathematics is all the same and having studied it at university, with great success, and still employing it in my day to day job allows me to provide a real-life example of application as well as rigorous academic backings for what I am teaching.
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Mathematics BSc - UCL - First Class Honours
Quantitative Risk Management MSc - LSE - Distinction

A levels - Mathematics (A*), Further Mathematics (A*), Literature (A*), French (A)
Erfahrung / Qualifikationen
I have been employed as an Actuary, Performance and Risk analyst at an investment fund, and a Consultant in the Data Science sector.
Alter
Kinder (7-12 Jahre alt)
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Seniorinnen und Senioren (65+ Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Fortgeschritten
Dauer
60 Minuten
Unterrichtet in
Englisch
Russisch
Verfügbarkeit einer typischen Woche
(GMT -05:00)
New York
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Beim Schüler zu Hause
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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