Rafael Lychowski
About Rafael Lychowski
Rafael Lychowski is a professor and data science expert specializing in predicting failures in critical assets and optimizing maintenance schedules. He currently serves as the Head of Data Science & Intelligent Automations at Vale and has extensive experience in business intelligence and data engineering.
Work at FGV - Fundação Getulio Vargas
Rafael Lychowski has been a Professor at FGV - Fundação Getulio Vargas since 2017. In this role, he contributes to the academic community by teaching and mentoring students in various subjects related to data science and business processes. His expertise in predicting failures in critical assets and optimizing maintenance schedules enhances the learning experience for students pursuing careers in these fields.
Current Role at Vale
Since 2009, Rafael Lychowski has held the position of Head of Data Science & Intelligent Automations at Vale, the world's largest iron ore mining company. In this capacity, he manages global programs that leverage data science and machine learning techniques to improve operational efficiency. His role involves utilizing data engineering skills, including database modeling and ETL processes, to support data-driven decision-making across the organization.
Education and Expertise
Rafael Lychowski studied at FGV - Fundação Getulio Vargas, where he earned a Master of Business Administration (MBA) in Gestão de Projetos from 2009 to 2011. He also holds a degree in Computer Science from Universidade Federal do Rio de Janeiro, which he completed from 1999 to 2003. His educational background provides a strong foundation for his work in data science and business intelligence.
Previous Experience in Business Intelligence
Before his current roles, Rafael Lychowski worked as a Business Intelligence Consultant at Accenture from 2008 to 2009, focusing on projects for Petrobras and Transpetro. He also served as a Business Intelligence Consultant at Unisys from 2005 to 2007, where he worked with the Brazilian Government's Department of Employment. These experiences contributed to his deep understanding of business processes and data visualization techniques.
Specialization in Data Science
Rafael Lychowski specializes in predicting failures in critical assets and optimizing maintenance schedules. He employs data visualization techniques to facilitate data exploration and enable self-service analytics tools. His skills in data engineering support his efforts to address complex challenges with significant business impact, making him a valuable asset in the field of data science.