Bruno Aguiar Mba, Pmp®

Project Manager at Yaskawa Motoman

Bruno Aguiar, MBA, PMP®, has a diverse work experience spanning over 16 years. Bruno began their career as an Apprentice at Volkswagen do Brasil in 2004, where they later served as a CNC machine operator and then as a Process Analyst. In 2012, Bruno became a Process Engineer at the same company, a role they held until 2016. In 2017, they founded their own consulting company, Tooling Consultoria e Representação, where they served as a Founder and Consultant. Later that year, Bruno joined Yaskawa Motoman as a Project Manager. Bruno'sexpertise and experience in process engineering and project management make him a valuable asset to any organization.

Bruno Aguiar, MBA, PMP®, has an extensive education history that includes a Master of Business Administration (MBA) from USP - Universidade de São Paulo, which they obtained from 2016 to 2018. Prior to their MBA, Bruno earned a Bachelor's degree in Mechanical Engineering with a specialization in Automation and Systems from Centro Universitário Fundação Santo André between 2006 and 2010. Furthermore, they completed their Technical High School education in Information Technology at Colégio Clóvis Bevilacqua from 2002 to 2005.

In addition to their formal education, Bruno Aguiar has obtained several certifications. These include "Python for Machine Learning & Data Science Masterclass" from Udemy in September 2022, "Introduction to Machine Learning course - Sebastian Raschka" from YouTube in September 2022, "Probabilidade e Estatística" from Veduca in July 2022, "100 Days of Code: The Complete Python Pro Bootcamp for 2022" from Udemy in June 2022, and "The Complete SQL Bootcamp 2022: Go from Zero to Hero" from Udemy in June 2022. Additionally, Bruno holds the Project Management Professional (PMP) certification from the Project Management Institute.

Based on the provided information, it can be inferred that Bruno Aguiar is highly educated and continually seeks to enhance their skills and knowledge in various fields, including industrial automation, machine learning, data science, statistics, and project management.

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