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Undergraduate Further Maths Tutors
4 Tutors Found
Experienced Examiner of Physics and Mathematics, Teacher of All Levels, Ex-Principle University Lecturer
- Queen Mary, University of London (University of London)
- Cardiff University
After obtaining 15 O levels, 5 A levels and 2 S levels at School I obtained a first class honours degree in physics and mathematics with my major physics topic being astrophysics from London University. I am friendly, compassionate and approachable. I am passionate about education, always striving for the best in every student, allowing them to reach their maximum potential. I teach A Level, STEP, NSAA, MAT, as well as undergraduate and higher levels.
I am a very experienced teacher and tutor who has helped numerous students of all abilities in Physics, Mathematics and Chemistry. I was previously a Headteacher of a Secondary school and believe that effort is more important than natural ability. I have tutored up to university level in Mathematics and Physics and taught Chemistry to students up to age 18.
Cambridge Graduate, PhD in Financial Econometrics, More Than 1,000 Hours Taught with The Profs
- University of Cambridge
- Imperial College of Science, Technology and Medicine
I specialise in consulting and training in quantitative subjects. Through my PhD and research I have gained extensive computing skills, namely in C++, MQL4, Python, Matlab, and SQL. I have been a quantitative tutor for The Profs for over 6 years (over 80 clients and over 1000 sessions completed).
Previously, I worked at Accenture in the area of Data Warehousing / Business Intelligence. I delivered onsite training for Warner Bros. Italy (client of Accenture UK) and through The Profs I have delivered Python training for WiredScore for 2 years,
Data Scientist, Mentor and Professional Tutor with MSc in Maths and Statistics from LSE
- Universidad de Buenos Aires
- London School of Economics and Political Science (University of London)
I am a Data Scientist working in the industry for 6+ years. I graduated from London School of Economics with a Distinction in MSc Management Science (Applied Stats), and from University of Buenos Aires with Distinction in MSc in Applied Mathematics, with focus in Econometrics, Statistics and Probability, Data Science, Machine Learning and coding.
I have been an Assistant Professor at several Universities, as well as a tutor and a Research Assistant. I currently run my own Data Science outsourcing services.
My main interest is to tutor Professionals in all Data Science related areas - coding, Statistics, best practices, Machine Learning and Algorithms, Quantitative and Qualitative Methods. Being Data Science such a dynamic discipline and so hot the industry at the moment, I believe there is a lot of room for advising professionals of all areas on how to improve their day-to-day tasks with the use of data.
On the other hand, I am interested in tutoring Undergrads and Graduate students in Mathematics, Statistics and Computer Science: with regard to the last one, I can teach:
-Foundations of coding - logical structures, algorithm design and optimisation
-Specific package usage in Python, R, SPSS and others.
Former Lecturer and Highly Experienced Tutor Specialising in Statistics, Mathematics and Actuarial Science.
- University of Oxford
I'm currently working as a consultant in New York City, working at the intersection of management consulting and data science. Prior to this, I obtained a PhD in Mathematics/Statistics from the University of Oxford. I combine a broad range of experience that enables me to teach both a theoretical as well as an applied content to students. Having taught at various Oxford departments and colleges, I am familiar with the whole mathematics and statistics curriculum for undergraduate students, and gained knowledge on the effectiveness of a variety of teaching methods. As part of my work, I apply modern statistical methods and artificial intelligence, combining mathematical expertise with a business angle. Part of my role is explaining these models to client users, often to a non-technical audience.
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