Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1


As Data Scientist Intern for Schlumberger, I'm working on behaviour analysis, anomaly detection and predictive maintenance for a drilling tool specific to the company. The applied models make it possible to find and detect the causes of failures, act on the faulty element as close as possible to its period of failure and reconstruct the data. 
As a graduation project for SAFRAN (9 month, part-time project), I've worked on state-of-art technology, named Compressive Sensing, as well as signal processing, machine learning, regressive analysis and statistics. 
I had the opportunity to carry out several short-term projects such as Kaggle competition for Forest Cover Type Prediction, prediction of the locations of the devices for Sigfox, data analysis for GDELT database, Image Classification system, Music generation using RNN
I'm looking for the projects where I could improve my skills in Deep Leaning, Machine Learning, as well as, Cloud Computing and visualisation.