• Languages & Frameworks: Python, React, Next.JS, SQL, MongoDB, JavaScript, JQuery, HTML, CSS, Git/GitHub, and Maple for mathematics and cryptography.
• Machine Learning: Decision trees, random forests with gradient boosting, sentiment analysis, Gaussian process models, logistic regression, RNNs, CNNs with TensorFlow Keras and PyTorch.
• Reinforcement Learning: Deep Q-Networks, on-policy MC, Q-learning, SARSA.
• Applied Data Science: Generalized linear regression, weighted least squares, exponential smoothing, SARIMA, seasonal trend decomposition, and regression diagnostics. Personal dissertation rendering of Magnetic Resonance Imaging (MRI) data.
• An example personal project on css and styling is this web page which promotes healthy eating.
• Coursera Programming Certificates

As a fully qualified mathematics teacher for secondary schools I have successfully managed and led large groups of pupils, providing clear instructions for pupils to organize themselves, work together and organize activities that enable them to make maximum progress and assess themselves after learning new problem-solving skills.

Able to work under pressure, creating reports based on machine learning and reinforcement learning algorithms. Motivated and able to use own initiative to solve quantitative problems. Can work with other professionals and collaborate on coding projects using Google Colab.

Taking part in team triathlon and aquathlon events, running half-marathon races, cycling, swimming and skiing.
Here is a link to athletics performances in Great Britain