Raphael Cousin

data scientist

Peut se déplacer à Paris, Paris 6e Arrondissement, Bordeaux

  • 48.85661400000001
  • 2.3522219000000177
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Raphael.
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Raphael.

Localisation et déplacement

Paris, France
Peut travailler dans vos locaux à
  • Paris et 50km autour
  • Paris 6e Arrondissement et 100km autour
  • Bordeaux et 100km autour





Compétences (21)

Raphael en quelques mots

Mathematician and developer, focus on Big Data management (Hadoop Ecosystem, AWS, GCP), reinforcement learning (Openai, DeepMind) and generative models (GAN). Throughout my academic studies I have acquired theoretical background in analysis, statistics and algorithmics. Graduated from School 42, I have developed skills in IT and software development. Eager to work with motivated and talented teams, in order to build innovative and sustainable AI solutions. I stay open to opportunities and new challenges.
Feel free to contact me!


Veepee - Vente-privée


Data Scientist

Paris, France

mai 2019 - novembre 2019

Worked on the home page recommender system.
• Built environments to simulate the user/home page interactions and to replay the historical data
• Developed deep learning algorithms, with focus on reinforcement and Bayesian learning
• Computed benchmarks, according to the product constraints (delay reward, position bias, continuous and binary rewards)
• Deployed cloud (GCP) pipeline using managed tools for storage (Bigquery), preprocessing (Apache-Beam / Dataflow), training/serving (tensorflow_gpu / AI Platform)
• Participated paper lecture and research team activities

Phoenix research station


Software Engineer

Elx, Espagne

juin 2018 - novembre 2018

Developed tools for palm trees detection using machine learning and high-resolution multispectral satellite imagery.
• Acquired and managed the data
• Implemented computer vision solutions (CNN, sliding window, non maximum suppression)
• Experimented at large scale (100 km 2 )
• Visualization and interaction with results (GIS dashboard)
• Presented at FAO/CIHEAM international meeting, Bari (Italy)



CTO - Data Scientist

Paris, France

juin 2017 - janvier 2018

Poleon : Real time predictions on transportation demand. https://poleon.co/

Led the design, the development and the maintenance of a software as a service which provided real time predictions to mobility stakeholders.
As data scientist, I managed the five million data collected every day from public and private sources. Including road traffic, Facebook events, meteorology, pollution, RATP, SNCF, Vélib.
Focused on:
• Databases structuring
• Data denoising
• Data engineering
• Predict inflow and demand
• Distribution, visualization and KPI for customers



Software Developer Intern

Paris, France

mai 2016 - août 2016

2 missions Malt

    (2 avis)

    2 recommandations externes