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IGCSE/A-Level/AP Economics, Statistics and Business Studies Tutor

I'm a 31-year-old IGCSE/A-Level Economics/Business Studies/Statistics teacher from the UK with
over six years’ teaching experience and I’m available to begin work in Ho Chi Minh City after the 9th of August.

In July 2014 I completed my undergraduate degree in Business and Finance at the
University of Wales Trinity Saint David in Swansea, where I obtained a 2:1. I moved
to Asia in May 2015 and worked as a Business Studies, Economics, English, and
Maths Teacher for just over 3 years in China, Thailand and Vietnam. I returned to
the UK in August 2018 to complete my MSc in International Business Economics at
the University of Sussex, which I completed in September 2019 obtaining a
distinction.

Beginning in June 2020, I began working as a lecturer for Nanjing University of
Finance and Economics (NUFE). This role has involved creating and teaching courses
in Advanced Python for Data Analysis, Macroeconomics, Microeconomics, Statistics
and Corporate Finance. These courses are fully accredited, and my students are
expected to continue their degree at the University of Waterloo in Canada after
completion of my courses.

Location

At student's location: Around Ho Chi Minh City, Vietnam

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General info

Age:
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
60 minutes
90 minutes
120 minutes
The class is taught in:English

About Me

I’m a 31-year-old Economics/Business Studies/Statistics teacher from the UK with over six years’ teaching experience. I’m currently looking for Economics/Business Studies/Statistics roles in a high school or university environment and I’m available to begin work in Ho Chi Minh City after the 9th of August 2023.

I returned to the UK in August 2018 to complete my MSc in International Business Economics at the University of Sussex, which I completed in September 2019 obtaining a distinction.

In September 2019, I began working as a macroeconomic analyst for the Office for National Statistics (ONS). My role at the ONS involved undertaking economic analysis specifically about international trade with the intention of writing reports of my findings to inform the general public in the UK.

Beginning in June 2020, I began working as a lecturer for Nanjing University of Finance and Economics (NUFE). This role has involved creating and teaching courses in Advanced Python for Data Analysis, Macroeconomics, Microeconomics, Statistics and Corporate Finance. These courses are fully accredited, and my students are expected to continue their degree at the University of Waterloo in Canada after completion of my courses.

Education

MSc International Business Economics (Distinction)
University of Sussex, West Sussex (UK)
September 2018 – September 2019

Certified Associate Data Scientist:
DataCamp
February 2023

Certified Associate Data Analyst:
DataCamp
March 2023

BA (Hons) Business and Finance (2:1)
University of Wales Trinity Saint David, Swansea (UK)
September 2011 – May 2014

Experience / Qualifications

Economics/Advanced Python Lecturer
Nanjing University of Finance and Economics, Nanjing (China) June 2020 – June 2023

Macroeconomic Analyst – International Analytics Team
Office for National Statistics (ONS), Cardiff (UK) | September 2019 – April 2020

English Teacher (Grades 7-9)
Maple Leaf International School, Dalian (China) | February 2018 – August 2018

IGCSE Economics Teacher
Westminster Academy, Hanoi (Vietnam) | May 2017 – January 2018

Maths Teacher (Grades 4-6)
Patai Udom Suksa School, Bangkok (Thailand) | May 2015 – May 2017

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Availability of a typical week

(GMT -05:00) New York
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2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00    
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00    
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00    
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00    
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23  Monday at 23:00  Tuesday at 23:00  Wednesday at 23:00  Thursday at 23:00      Sunday at 23:00
from $30.71At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since August 2023
  • Google connected

Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0  Monday at 0:00  Tuesday at 0:00  Wednesday at 0:00  Thursday at 0:00  Friday at 0:00    
1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00    
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00    
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00    
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00    
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00    
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00    
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23  Monday at 23:00  Tuesday at 23:00  Wednesday at 23:00  Thursday at 23:00      Sunday at 23:00
from $30.71At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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