Carlos Nunez

Carlos Núñez Cárdenas is an industrial engineer known for his strong data-driven focus and interest in data science and machine learning applications. He has a rich educational background with a Master of Engineering in Industrial Engineering from the University of California, Berkeley, and a Bachelor's degree in Engineering Sciences from Universidad Adolfo Ibáñez.

With diverse experience in the IT industry, Carlos has held roles such as Analytics Associate at 159 Solutions, Inc., Deep Learning Researcher at UC Berkeley Data-X Project with Volvo Cars, and Data Scientist/Project Manager at the Fire Research Group at University of California, Berkeley.

Carlos Núñez Cárdenas has also been involved in academia as an Adjunct Professor at Universidad Adolfo Ibáñez and has had project management roles at organizations like SONDA. He has a broad skill set encompassing data analysis, project management, and operations consultancy.

In addition to his professional engagements, Carlos Núñez Cárdenas has honed his skills through various studies, including a Diplomatura in Data Center Management from Instituto Profesional AIEP. He is passionate about leveraging data to drive insights and make informed decisions.

For more information about Carlos Núñez Cárdenas and his work, you can visit his website at https://carlosnunezc94.github.io/.