Since August 2026
Instructor since August 2026
UK Financial Data Scientist teaching Data Science and Machine Learning with Python through clear explanations,
From 56 C$ /h
My lessons are designed to take you from simply following code to genuinely understanding how data science works.
We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.
Depending on your goals, lessons can include:
Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects
I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.
Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.
You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.
We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.
Depending on your goals, lessons can include:
Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects
I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.
Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.
You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.
Location
Online from United Kingdom
About Me
I am a Market Operations Data Scientist working in the UK Financial Sector, with professional experience across data science, software development and financial markets.
My professional work has included financial-instrument data, pricing analysis, yield curves, predictive modelling and improving operational processes. This allows me to connect technical concepts to realistic business and financial applications rather than teaching them only as abstract theory.
Alongside my industry role, I teach data science online to students from a wide variety of backgrounds. Some are complete beginners, some are studying at university, and others are professionals preparing for a career change or developing new technical skills.
Students often value my ability to break complicated subjects into manageable steps. I use visual representations, everyday analogies and carefully chosen examples so that students understand why a method works rather than memorising commands.
My lessons are patient, structured and adapted to the individual. Whether you are learning your first pandas commands or exploring advanced machine-learning models, we will build from what you already know and work towards a clear objective.
My professional work has included financial-instrument data, pricing analysis, yield curves, predictive modelling and improving operational processes. This allows me to connect technical concepts to realistic business and financial applications rather than teaching them only as abstract theory.
Alongside my industry role, I teach data science online to students from a wide variety of backgrounds. Some are complete beginners, some are studying at university, and others are professionals preparing for a career change or developing new technical skills.
Students often value my ability to break complicated subjects into manageable steps. I use visual representations, everyday analogies and carefully chosen examples so that students understand why a method works rather than memorising commands.
My lessons are patient, structured and adapted to the individual. Whether you are learning your first pandas commands or exploring advanced machine-learning models, we will build from what you already know and work towards a clear objective.
Education
MSc Data Science,. BCS Level 4 Software Development qualification. A-Level Mathematics and Further Mathematics. Strong academic background across statistics, machine learning, programming and quantitative methods.
Experience / Qualifications
10+ years of professional experience across data, technology and financial services, including my current work as a Market Operations Data Scientist at the Bank of England. 5 years of teaching and coaching experience, specialising in Data Science, Python, SQL, Power BI, Machine Learning, Statistics and Mathematics. I teach students from complete beginner level through to postgraduate and professional projects.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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