Summary
Luis Argerich is a data science professor and senior expert data scientist with 12 years of professional experience and a long academic track record at leading Argentine universities. He teaches core AI and data science courses at Universidad de San Andrés, UBA and Universidad Nacional de Tres de Febrero, blending theoretical foundations with hands-on Big Data, streaming and ML practice. In industry he applies this expertise at Mercado Libre and has previous data science experience at Despegar.com, focusing on scalable analytics for commerce and payments in Latin America. A longtime open-source builder, he founded TikiWiki and led its early development and community growth when it became a top SourceForge project. His background spans research-grade topics—topological data analysis, LSH, cryptography—and practical systems like Spark and NoSQL, enabling him to bridge theory and production. Based in Buenos Aires, he combines academic rigor with product-driven impact aimed at democratizing commerce, money and payments across the region.
12 years of coding experience
10 years of employment as a software developer
University of Minnesota Twin Cities
University of California, San Diego
Applied Data Science with Python Specialization, Applied Data Science with Python Specialization at University of Michigan
University of Illinois Urbana-Champaign
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of Buenos Aires
English, Spanish