I am a freelance university lecturer of economics, econometrics and quantitative methods with an MSc in Applied Economics from Imperial College London (distinction in economics). I specialise in teaching economics to both A Levels and Undergraduate students. Majority of my A Level students are high achievers who are targeting high grades to enter top universities. I also teach Statistics, Decision Mathematics, Quantitative Methods, Operational Research, Research Methods, Statistical Modelling, Data Analysis and Spreadsheet Modelling; designing, planning and managing Dissertation Projects to university students at both Undergraduate and Master’s level.
Before joining academia, I held various technical and professional roles with a number of organisations (including a two FTSE 100 companies) as Financial Analyst, Accountant, Risk Analyst and Analytics Professional.
As a qualified teacher of secondary mathematics, former Associate Lecturer at University of Northampton Business School, private tutor at University of Buckingham and currently a freelance university tutor I understand what it takes to excel at A levels and University. 75% of my A Level students passed well beyond their target grades. 70% of my former university students now work in elite professions from architecture, banking, finance, engineering, oil and gas. A few now run their own businesses and charities; while some undergraduate students continued to study at master’s level. Majority of my masters students have been senior corporate managers. This is what motivates me as a tutor.
I believe that every student in A Levels has the potential to study at university. However, A Level students targeting “A” and “A*” grades and aspiring to enter top universities, must not only work harder but also smarter. The difference between students who score A/A* and the rest is similar to the difference between medal winners in an Olympic final and the rest of the finalists.
Many students however, can achieve their potential by focusing on “little things” without forgetting the “big picture” such as the link between Aggregate Supply/Aggregate Demand model and the Phillips Curve in A Level Macroeconomics. At university level students can excel in quantitative subjects by focusing on basic concepts, calculations and formulae; such as the working of the double entry book keeping in accountancy, financial ratios, converting a business problem into a mathematical model in operations research; or practising advanced Excel functions for financial and operational research modelling. I find that majority of university students find it challenging to designing and formulating a dissertation research project, collecting data, selecting appropriate analysis techniques and link the methodology and results to the research questions. My approach to teaching involves focusing on these so called “little things”, I have seen majority of my students pass with distinction, first class or 2.1.
|Availability||Weekdays (all times)|
|References Available||On File|
|Imperial College, London||2002||Masters||MSc Applied Economics|
|The Royal Statistical Society||1995||Professional||Higher Certificate in Statistics|
|DfE, National College for Teaching and Leadership||2017||QTS||Secondary Maths|
|University of bedfordshire||2017||PGCE||Secondary Maths|
|Unpublished feedback (Usually negative)||0|