🇫🇷 French - Native      🇬🇧 English - Fluent      🇪🇸Spanish - Intermediate      🇮🇹Italian - Intermediate

Python, JavaScript, ElasticSearchs, C++, R, SQL, bash

Scikit-learn, keras, pyTorch, tensorflow, pySpark, pandas

Linux, Windows, Android Studio, GitHub

Kaggle challenges, gym/openai

Specialized in Mathematics and Computer Sciences

Revelant courses:

Specialized in Machine Learning and Deep Learning

Revelant courses:

Blue Systems: Web application to monitor free-floating devices (scooters, bikes...) and allow cities (Los Angeles, Denver, London...) to regulate the mobility providers.

BNP: Lead development of a web application and API to investigate technical incidents inside the bank and smart alert for managers.

pass Culture: Lead development of a mobile application (iOS and Android) to allow young French people to diversify their culture.

Development of web and mobile applications for different clients (Smartkets, Veygo...). Training of 6 external developers in React and React native. Setup of Tableau for data visualisation on AWS.

Outlier detection in IoT data to predict and prevent potential failure of industrial machines.

Outlier detection in aggregated time series data to detect failures in key systems (payments, inscriptions...) accross the world.

Prediction of a risk measure (VaR) to save up computation power. Design of a tool to manage a worldwide team of 400 people.

Professional Data Engineer. See reference

Machine Learning class by Andrew Ng (Stanford). See reference

Neo4j Certified Professional. See reference