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Philippe D. has a diverse work experience in various roles and industries. Philippe started their career as a Summer intern at Région Grand Est in 2014 and later worked as a Summer intern at LCL in 2015. In 2017, they worked as an Administrative Assistant at HEUFT SYSTEMTECHNIK GMBH for a brief period.

In 2017, Philippe took on the role of Development Lead at Forum Trium, where they were responsible for prospecting at forums and events, as well as overseeing the development and evolution of the forum.

In 2018, they worked as an Assistant Research Engineer at the University of Helsinki, where they assisted in a data science project focused on inferring Gene Regulatory Network. Philippe conducted research, cleaned data, implemented machine learning algorithms, and compared their performance.

Also in 2018, Philippe joined AXA as a Data Scientist in the Axa Climate team. Philippe'sresponsibilities included climate hazard modeling, pricing various products, and developing a pricing app to streamline processes.

In 2019, Philippe worked as a Data Science Consultant at Metric Arts, where they developed predictive models for a car company client, specifically focusing on predicting details of next vehicle purchases.

Most recently, Philippe has been working at Kili Technology since 2020. Philippe started as a Junior full stack Engineer and then transitioned to the role of Senior full stack Engineer, where they became the squad lead and technical lead. Philippe has been responsible for managing a team, reducing technical debt, developing new features, maintaining existing features, and scaling the usage of the application. Philippe also collaborates with the product manager on feature prioritization and architecture design.

Overall, Philippe D. has gained valuable experience in data science, software engineering, project management, and relationship building throughout their career.

Philippe D. pursued their education in a variety of institutions and fields of study. From 2007 to 2013, they attended Lycée Kléber and obtained their Baccalauréat Mention Très Bien in the section Européenne Anglais, specializing in Physics, Maths, and Natural Sciences. Following this, from 2013 to 2016, Philippe attended Collège Stanislas Paris, where they completed a CPGE (Classes préparatoires aux grandes écoles d'ingénieurs) focusing on Maths, Physics, Chemistry, and Computer Science.

Philippe then moved on to ENSTA Paris from 2016 to 2020, where they pursued a Master of Science (MS) degree in Applied Mathematics. Concurrently, from 2017 to 2018, they also studied at Université Paris-Saclay, acquiring an additional Master of Science in Applied Mathematics (M1).

In 2019, Philippe joined École Polytechnique for a year and obtained a Master of Science (MS) in Data Science. During the same period, from 2019 to 2020, they pursued another Master's degree in Data Sciences at Institut Polytechnique de Paris.

To further enhance their knowledge and skills, Philippe obtained various certifications. These include "S'approprier le rôle de manager" from Actinuum in October 2022, "Convolutional Neural Networks" from Coursera in February 2019, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera in January 2019, "Structuring Machine Learning Projects" from Coursera in December 2018, and "Neural Networks and Deep Learning" from Coursera in November 2018. Philippe also achieved a TOEIC score of 965/990 through the TOEIC Program in May 2018. Additionally, Philippe obtained a certification in "Sauveteur secouriste du travail" from INRS France, scheduled for May 2023, and completed the "MOOC Gestion de Projet, Attestation session 11 Parcours Classique" from MOOC Gestion de Projet in May 2018.