Summary
Sam Macintyre is an Integrated Energy Analyst and data scientist with eight years’ experience applying statistical rigour and data engineering to energy, renewables and health-related problems. With an MSc in Data Science and a BSc in Statistics and Stochastic Processes, he has built long-term energy and commodity models at bp, developed predictive and optimisation solutions at McKinsey, and produced research-grade tools for biomedical mass-spectrometry and stroke economic modelling. He combines hands-on software skills (data pipelines, automation, R/Shiny, Docker, cloud) with domain depth in low-carbon assets, geophysical risk and healthcare analytics. Sam’s work uniquely spans scientific research, consulting and production deployment, and his model outputs have informed both corporate investment cases and peer research. Based in Madrid and active in renewable technology discussions from his Barcelona coding background, he’s equally comfortable authoring R packages and scaling models for commercial decision-making.
8 years of coding experience
5 years of employment as a software developer
Nanogdegree, Data Engineering, Nanogdegree, Data Engineering at Udacity
Master's degree, Data Science, 8.38/10, Master's degree, Data Science, 8.38/10 at Barcelona Graduate School of Economics
TCE(Tasmanian Certificate of Education), 99.95, TCE(Tasmanian Certificate of Education), 99.95 at The Hutchins School
The University of Melbourne
St. Aloysius College, Glasgow
French, Latin, Spanish