David Luz, PhD
About David Luz, PhD
David Luz, PhD, is a data scientist with extensive experience in computer vision and data science projects, currently working at Faurecia in Paris. He has held various roles in notable organizations, including relevanC and OCTO Technology, and possesses a Palantir Data Scientist Certification.
Work at Faurecia
David Luz has been employed at Faurecia as a Data Scientist since 2020. His role involves leveraging data science techniques to support the company's objectives in the automotive industry. Faurecia is known for its innovations in sustainable mobility and advanced technologies, and Luz contributes to these initiatives through his expertise in data analysis and machine learning.
Education and Expertise
David Luz holds a PhD and has extensive experience in data science, particularly in computer vision. He specializes in using Deep Convolutional Neural Networks (DCNN) and has a Palantir Data Scientist Certification. His educational background includes significant research and teaching roles, which have equipped him with a strong foundation in data analysis and AI technologies.
Background
David Luz has a diverse professional background, having worked in various roles across different organizations. He served as a Research Fellow at Observatoire de Paris from 2002 to 2007 and later as a Senior Research Scientist and Lecturer at the University of Lisbon from 2008 to 2015. His experience also includes positions at OCTO Technology and relevanC, where he focused on data science applications.
Professional Experience
Luz's professional journey includes significant roles in data science and research. He worked as a Senior Consultant at OCTO Technology for seven months in 2016 and as a Data Scientist at Télécom ParisTech from 2014 to 2016. His earlier experience includes a PhD student role at the University of Lisbon and Laboratoire de Météorologie Dynamique, where he conducted research from 1998 to 2001.
Technical Skills and Projects
David Luz has developed quality control tools that utilize image classification, detection, and semantic segmentation techniques. His technical skills include proficiency in Azure and Palantir Foundry, which he has applied in various data science projects throughout his career. His focus on computer vision and AI tools positions him as a knowledgeable professional in the field.