Virgile Pesce
About Virgile Pesce
Virgile Pesce is a Chargé d'enseignement at Aix-Marseille Université and a Data Engineer at GROUPE VERONA, with a strong academic background in sociology, big data, and intellectual property law. He specializes in data science, employing various programming languages and cloud technologies in his work.
Work at Aix-Marseille University
Virgile Pesce has been serving as Chargé d'enseignement at Aix-Marseille Université since 2020. In this role, he focuses on teaching subjects related to data science and engineering. His academic background from Aix-Marseille University enhances his teaching capabilities, allowing him to provide students with a comprehensive understanding of the field.
Education and Expertise
Virgile Pesce holds multiple degrees from various institutions. He achieved a Licence in Sociologie from Aix-Marseille University between 2003 and 2006. He furthered his studies at the University of Sussex, obtaining a Master of Science in Sociologie from 2008 to 2009. Additionally, he completed a Master en ingénierie in Big Data at Aix-Marseille University from 2017 to 2019. His education also includes a Master 2 in Sociologie et anthropologie from EHESS, a Master 2 in Droit de la propriété intellectuelle, and studies in Jazz guitar and double bass at the Conservatoire d'Aix-en-Provence and Conservatoire de Marseille.
Professional Experience
In addition to his teaching role, Virgile Pesce has been employed as a Data Engineer at GROUPE VERONA since 2021. He previously worked as a Data Scientist at Equancy from 2019 to 2021. His professional experience spans various aspects of data engineering, where he utilizes cloud infrastructure technologies such as AWS, Azure, and GCP, as well as distributed computing frameworks like Hadoop and Spark.
Technical Skills and Tools
Virgile Pesce is proficient in a variety of programming languages and tools essential for data engineering and analysis. He regularly uses Jupyter Lab, VSCode, and PyCharm for development. His skill set includes Python, JavaScript, SQL, and VBA, along with knowledge in R, Scala, C, and assembler. He employs data visualization and analysis tools such as Pandas, PySpark, Dash, and Matplotlib, and has a strong foundation in machine learning and deep learning frameworks like TensorFlow and PyTorch.
Specialization in Data Ethics
Virgile Pesce has a unique specialization in the ethical and legal dimensions of data, which is increasingly important in the field of data science. His expertise in this area complements his technical skills, allowing him to address complex issues related to data governance and compliance in his projects.