Jorge Sánchez

PhD Statistician & Senior Data Scientist | Advanced Analytics & Machine Learning for Policy, Health, Finance, and Operations

• Statistical Modelling: Generalised Linear Models, Bayesian Methods, Spatial Statistics, Casual Inference, Survival Analysis, Longitudinal Data Analysis, Non-Parametric Methods, Mixed-Effects Models


• AI & Machine Learning: NLP, Supervised Learning Methods, Unsupervised Learning Methods, Ensemble Methods, Dimensionality Reduction, Model Optimization, Feature Engineering, Deep Neural Networks, Convolutional Neural Networks


• Industry Applications:
  • Public Sector: Population health management, casual inference, data-driven policy
  • Financial & Insurance: Credit risk, pricing, fraud detection, telematics
  • Healthcare: Biostatistics, outcomes modelling, health inequalities
  • Supply Chain: Forecasting, route optimization, demand simulation

I am a Data Science professional with a PhD in Statistics and 15+ years of experience applying advanced analytical and machine learning methods to improve decision-making in government, healthcare, banking, insurance, and logistics sectors. My work bridges statistical modelling and operational impact — from designing fair insurance pricing models to supporting population health policy decisions.