Summary
Guillermo Kesseler is a seasoned data scientist and senior engineering leader with 11 years in analytics, machine learning and data engineering, currently driving ML initiatives at Globant from Argentina. He combines early career IT leadership and CTO experience with hands-on ML work for clients across the US, Canada and the Netherlands, enabling business decisions through advanced analytics. Trained in electronic engineering and upskilled at MIT and Johns Hopkins in big data and data science, he bridges industrial systems thinking with modern data workflows. His background running cloud services and regional IT organizations gives him a rare operational perspective on deploying robust, scalable ML solutions in production.
11 years of coding experience
9 years of employment as a software developer
Tackling the Challenges of Big Data, Computer Science, 100, Tackling the Challenges of Big Data, Computer Science, 100 at Massachusetts Institute of Technology
Ingenieria Electronica, Electrical and Electronics Engineering, Ingenieria Electronica, Electrical and Electronics Engineering at Universidad Nacional de Rosario
Data Scientist, Data Science, 93, Data Scientist, Data Science, 93 at Johns Hopkins Bloomberg School of Public Health
English, Spanish, French, Portuguese