Description

Double compétence Machine Learning Engineer / Scientist.

Dans le monde de la data depuis plus de 10 ans, j'ai une compréhension globale des problématiques liées à la data et je suis en mesure d'adresser des projets sur tout leur cycle de vie, de la conception des algorithmes de machine learning à l'état de l'art jusqu'à leur passage en production.

Expertise poussée en Deep Learning (notamment séries temporelles / computer vision), et en machine learning de façon plus générale (co-auteur de publications scientifiques).

Parfaite maîtrise de Kubernetes, du déploiement from scratch jusqu'à la montée en charge et la gestion d'applicatifs complexes (Deep Learning sur GPUs).

Langues

Anglais
Capacité professionnelle complète
Français
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris 1er Arrondissement (jusqu’à 50 km), Paris (jusqu’à 10 km)

EDF R&D
Research - Data scientist
ENERGIE
mai 2014 - décembre 2017 (3 ans et 8 mois)
Paris, France
Machine learning with a special focus on Deep Learning applied to time series (classification, clustering, prevision, generative models, signals desaggregation, predictive maintenance...).

Deeply involved in both methodological and technical sides. My on-going work deals with convolutional variational autoencoders (VAE) and generative adversarial networks (GAN), in the context of real-world use-cases at EDF.

Deep Learning technical environnement : Nvidia Titan X GPUs, Docker, Tensorflow, Keras, stack Python.

Data modeling with graph processing frameworks (Titan, Spark GraphX), in particular the whole french electrical distribution network.
Bluestone
Data scientist
CONSEIL & AUDIT
septembre 2013 - avril 2014 (8 mois)
Paris, France
AXA SA
Chef de projet Business Intelligence
BANQUE & ASSURANCES
septembre 2008 - juin 2013 (4 ans et 10 mois)
Paris, France
GRP (Group Reporting Platform) is the AXA global mutualized reporting platform, handling high amount of data with high availability ; valuable strategical reports and ad-hoc analysis are provided across a wide variety of business and operating units.

Some key figures : 300 data sources (still growing), 30+ multidimensional cube analysis, 90+ millions of daily records, 20000 users over the world.

As a project manager, I was in charge of gathering business requirements from management teams and business unit leaders, cross-referencing user perception with my technical perspective.

Personally involved (design & specifications from scratch) in these strategic initiatives :
• Concentration risk management (advanced analysis and reporting)
• Group management accountancy (strategic reporting automation)
• Life insurance management (portfolios reporting and ad-hoc analysis)

Strong interest in technicals aspects, giving me the opportunity to hold a position of technical expert, within a context of high scalability, redundancy and availability in a strongly near real-time focused data warehousing platform.

Technical environment : Microsoft SQL Server (SSIS, SSRS, SSAS), Sharepoint with Excel Services, PowerPivot, custom software developments (C#)