Summary
Ariel González is a data analyst and Python developer with eight years of experience blending mathematical rigor, probability, and graph theory into practical AI and IoT solutions. Trained at UNAM and UNADM with a master's in Computational Science, he moves comfortably between research-level modeling and shipping production tools, having held roles from systems administrator to project owner and Python developer. Currently at ENITMA Inc., he applies his background in mathematics and technología to extract insights and build analytical pipelines. Notably, his profile reflects a persistent interest in graph algorithms and probabilistic methods, informing innovative approaches to data problems beyond standard ML recipes.
8 years of coding experience
1 year of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Licenciatura, Mathematics, 8.6, Licenciatura, Mathematics, 8.6 at Universidad Abierta y a Distancia de México