Miguel PatríCIO
About Miguel PatríCIO
Miguel Patrício is the Head of Product Data Science & Analytics at DeepL, with extensive experience in data science and analytics across various organizations. He has held leadership roles at companies such as Booking.com and KidsLoop, and has a strong academic background in mathematics and computer science.
Current Role at DeepL
Miguel Patrício serves as the Head of Product Data Science & Analytics at DeepL, a position he has held since 2022. He operates from Amsterdam, North Holland, Netherlands. In this role, he focuses on integrating data science and analytics into product development, leveraging his expertise to enhance decision-making processes and drive results.
Previous Experience in Data Science and Analytics
Prior to his current role, Miguel Patrício held various positions in data science and analytics. He worked at KidsLoop Co., Ltd. as Head of Data Science and Analytics for nine months in 2021-2022. He also spent three years at Booking.com, where he progressed from Data Scientist to Team Lead Data Science and Analytics, and briefly served as Data Science Manager in 2021.
Academic Background and Teaching Experience
Miguel Patrício has a robust academic background. He earned his PhD in Mathematics and Computer Science from Eindhoven University of Technology between 2004 and 2008. He also holds a Licenciatura in Pure Mathematics from Universidade de Coimbra, completed from 1998 to 2003. Additionally, he has experience in academia, having served as an Assistant Professor at both Coimbra Business School and Polytechnic of Leiria, as well as a Teaching Assistant at the University of Coimbra.
Entrepreneurial Venture at Spiral Data Lda.
Miguel Patrício co-founded Spiral Data Lda. in Coimbra, Portugal, where he worked for three years from 2014 to 2017. This venture allowed him to apply his data science expertise in a startup environment, contributing to the development of data-driven solutions.
Research and Leadership in Data Science
Throughout his career, Miguel Patrício has focused on building effective data teams, emphasizing culture and results. His leadership style combines decision science and business intelligence, which he applies to drive product development. He also has experience as a Research Fellow in Machine Learning, Statistics, and Biostatistics at Universidade de Coimbra from 2012 to 2017.