Education

M2 Data Science (September 2018 - June 2019)

Courses taken:

• Optimization
• Big Data Frameworks (Hadoop, Spark, ElasticSearch)
• Reinforcement Learning
• Graphical Models
• Deep Learning
• Compressed Sensing
• Online Learning and Aggregation
• Data Streaming

Projects:

• Mars craters detection and classification
• Safe and efficient off-policy reinforcement learning

École polytechnique (September 2015 - June 2019)

Applied Mathematics and Computer Science

Courses taken:

• Machine Learning
• Database Management Systems
• Data Camp

Projects:

• Deep learning for music genre classification
• Playing Flappy Bird with deep reinforcement learning

Class préparatoire (September 2013 - June 2015)

Intensive two-year preparatory course for the competitive exams of french engineering schools.