Hi!
I am a results-driven, people-centred data enthusiast with a multidisciplinary background including engineering, consulting, IT and cyber security, sales, and operations.
My mission is to use data to help organisations solve complex problems and overcome difficult challenges to drive growth, while accelerating the progress towards a more sustainable, equitable world.
From the UK, I’ve lived in four continents and travelled to dozens of countries. My primary interests include renewable energy, vehicles, psychology, and various physical activities.
This website has recently been redesigned, so if there are any bugs, please let me know 😁
Courses including machine learning (sklearn), deep learning (TensorFlow), time series analysis, statistics, and probability.
Courses including machine learning (sklearn), deep learning (PyTorch), convolutional neural networks (CNN), and LLMs.
Courses including naive Bayes, decision trees, random forests, K-nearest neighbours, support vector machines, Hugging Face, and more.
Courses including LLMs, prompt engineering, AI agents (LangChain), NLP, vector databases, convolutional neural networks, and deployment.
Courses including NumPy, pandas, Excel, SQL, customer analytics, and data visualisation (including Tableau).
Courses including financial modelling (including 3-statement modelling), and valuation analysis using DCF, comparables/precedents, and assets.
Including an international year studying Electrical and Computer Engineering at Rutgers, New Jersey, USA.
