Guillem Hurault
Senior Data Scientist
I am a Senior Data Scientist working in sports analytics developing statistical and Machine Learning models to predict the outcome of sports events.
Before this, I worked as a Data Scientist in the renewable energy sector to forecast electricity demand, generation and prices. I started my career as a researcher at Imperial College London in the Biological Control Systems Lab, developing predictive models for eczema.
- Statistics & Machine Learning
- Bayesian modelling
- Time-series forecasting
- Decision analysis
- MLOps
- Software Engineering
PhD in Statistical Machine Learning, 2022
Imperial College London (UK)
Master in Engineering, 2018
Ecole Centrale de Lyon (FR)
MSc in Biomedical Engineering, 2017
Imperial College London (UK)
Bachelor in Economics, 2016
Université Lyon 2 (FR)
Projects
Python analysis template
Template repository for data science projects in Python.
PhD project
Towards a data-driven personalised management of Atopic Dermatitis severity.
Reproducible R Workflow
Example reproducible workflow in R.
Streetmaps
Making streetmaps using OpenStreetMap and ggplot2 in R.
Football Prediction
Modelling football outcomes in Stan.
LaTeX Templates
Custom style files for LaTeX documents.
Lokta-Volterra competition model in Stan
Fitting a two-species Lokta-Volterra competition model using data from multiple experiments in Stan.
Regularisation
Case study comparing different regularisation methods for statistics and Machine Learning.