George S.

I am a maths/statistics tutor and data engineer with over ten years of teaching experience. 

Academic background: 

- Sussex University - PhD Hirschfeld scholar; pass with minor corrections

- Sussex University - 1st class honours MMath degree

I`ve spent 6 years in industry working in the data tech industry. I apply maths and technical skills to solve data engineering problems, as well as conduct technical training work alongside for work colleagues. I work closely with data engineering technologies like Python and SQL.

In-person tutoring experience:

- 2009 - 2010: Assisted year 10 and 11 maths lessons as an A-level student.

- 2012 - 2014: Mentored first-year undergraduate students at Sussex university.

- 2011- 2012: Classroom assistant via the First Generation Scholars scheme at the Brighton Aldridge Community Academy (BACA).

- 2014 - 2018: Lead workshops marked homework and acted as a test examiner for undergraduate courses at Sussex university. 

- 2016 - 2018: Student support assistant tutor for all Sussex university second year maths courses

Data engineering training 2019 - present:

- Train work colleagues in data engineering and data science skills when required.

Online tuition experience:

- 2015 - 2018: TutorHunt online and in-person private tutor for maths and statistics.

- 2023 - present: Online private tutor for maths, statistics, computer science and coding. 

Courses, topics and modules I`ve taught.

Maths and statistics

- Exam boards: AQA, CIE, Edexcel, IB, iGCSE, OCR, Scottish Highers, SQA

- KS3 - Maths and statistics all topics

- GCSE - Maths and statistics all topics

- A-Level - Further Maths, Mechanics, Maths, Statistics; C1, C2, C3, C4, FP1, FP2, M1, S1

- Undergraduate - Algebra, complex analysis, differential equations, Fourier series, group theory, linear algebra, maths for economics, multivariate calculus, numerical analysis, probability, real analysis, set theory, statistics

- Postgraduate - Numerical linear algebra

Computer science:

- Exam boards: AQA, OCR

- GCSE only

- Coding: Python, SQL

Other topics:

- Competitions: Intermediate Maths Challenge (IMC), Junior Kangaroo

- Entrance exams: TMUA

Data science/engineering:

- BigQuery ETL pipelines, dbt macros, Google Cloud best practices, git/Gitlab best practices, git tagging, poetry custom packages, Python design patterns

Lessons are delivered in 50 minute batches. They consist of breaking down complex theoretical concepts into simplified components followed by examples and exam problems to solidify understanding of the topic. I encourage the student to explore the concepts themselves with me prompting them rather than just writing out a formulae. I focus on sharing deep mathematical insights with my student. This is a skill I refined as a PhD student. I aim to make lessons interactive and goal-oriented. I combine this with reinforcing their knowledge of theoretical concepts throughout the lesson. 

The main subjects I teach are:

- Maths and statistics KS3 to university level

- Computer science KS3 and GCSE 

- Python and SQL coding

- Data science and data engineering skills

- Maths entrance exams and competitions

Please enquire if you have a topic/subject request not listed here.

I have a valid DBS check.

Here is how lessons are conducted:

- I recommend students bring the following to lessons: pen, paper, and calculator.

- Lessons last 50 minutes, with the remaining 10 minutes of the hour used for answering remaining questions, exporting the whiteboard, booking future lessons, etc.

- Topic Requests: Please provide at least 24 hours' notice for any topic requests or changes to the planned lesson content.

- Student Resources: Any materials or resources from the student must be sent at least 24 hours before the scheduled lesson.

- Question Review: If you would like me to review specific questions during the lesson, please ensure that complete solutions (correct or tried) are provided in advance.

- Cancellations: Lessons cancelled within 24 hours of the scheduled time will incur a 50% cancellation fee.

- No-shows: The full lesson fee is charged if a student does not attend a booked lesson without prior notice.

- Late Attendance: I will remain available 15 minutes after the scheduled start time. The lesson will be considered a no-show if the student does not arrive within this time.

- Lesson availability is allocated on a first-come first-serve basis.

- I may set homework tasks based on gaps in the knowledge of the student I observe but these are not mandatory.

- One off lessons are booked maximum 2 weeks in advance.

- Regular sessions must be honoured or cancelled in advance. Missed lessons without prior notice will result in the slot being released to another student.

- I tutor 6 days each week with Friday being my day off. I do not tutor on Fridays except under special circumstances. I will take other holidays through the year and I will alert my students in advance of these. 

- I will provide a list of one off lessons available to my students at the beginning of each lesson if the require any additional lessons. These are offered on a first come first serve basis.