Summary
Nahuel Canelo is a Senior Data Scientist based in Chile with four years of professional experience building AI-driven commercial solutions that boost operational productivity and improve quality of life. Trained as an environmental biologist and holding a master's in statistics, he bridges rigorous scientific research with practical machine learning implementation across R and Python ecosystems. He has led predictive modeling and innovation projects for consulting firms (PwC, EY) and startups, securing significant public funding and opening new industry opportunities. Comfortable translating between technical teams and business stakeholders, he develops end-to-end analytics—feature engineering pipelines, high-performance models, and interactive visualizations. Notably, his background in satellite image processing and ecological research gives him a distinctive edge in geospatial and environmental applications of ML.
4 years of coding experience
3 years of employment as a software developer
Magíster, Statistics, Magíster, Statistics at Pontificia Universidad Católica de Chile
Biólogo con mención en Medio Ambiente, Biólogo con mención en Medio Ambiente at Universidad de Chile
Diplomado Data Science – Machine Learning e Inteligencia Artificial, 94/100, Diplomado Data Science – Machine Learning e Inteligencia Artificial, 94/100 at Pontificia Universidad Católica de Valparaíso
English