Séminaire du jeudi 9 juin : PriceMinister/Rakuten

I currently hold a Data Scientist / Senior Developer position at PriceMinister/Rakuten. My main activities involve machine learning and data mining algorithms for Recommendations and Record Linkage in the context of e-commerce and marketing. I previously worked for 3 years as a Data Scientist / R&D engineer at Logilab, in particular for library catalogs and medical data in the context of Semantic Web. My projects at this position included data.bnf.fr (the open-data platform of the French National Library) and Brainomics (an open-source framework for managing medical data).

During my PhD in Computer Science in the Inria Parietal team, I developed some machine learning and data mining algorithms that take into account the spatial information of neuro-imaging (fMRI) data. I have also contributed to the early versions of the scikit-learn project. I am an ESPCI (Ecole Supérieure de Physique et de Chimie Industrielles de Paris) engineer specialized in physics, and I hold a Master 2 in Applied Mathematics from the Ecole Normale Supérieure de Cachan (MVA).

My main topics of interest are data-mining algorithms applied to open-data (especially cultural items), data-journalism, and more generally how data science and open-data can be jointly used.

Presentation: I will speak about the "data" in "datascience", showing (from my experience) how algorithms can/should be adapted to different fields (medical, e-commerce, cultural products), and how open data can be used as an interesting tool for data science.

La participation aux Séminaires Big Data du jeudi est réservée aux étudiants du Mastère Spécialisé "Big Data" et de la filière "Sciences des données" de Télécom ParisTech, et du Master 2 "Data Sciences" de l'Université Paris-Saclay. Elle est également ouverte aux partenaires de la Chaire Machine Learning for Big Data : Criteo, BNP Paribas, Safran et PSA Groupe.

Pour s'inscrire : www.meetup.com/fr/Master-Big-Data-Telecom-ParisTech