Hamza El Rhaffouli

Senior Data Scientist @ Rakuten Advertising

About Hamza El Rhaffouli

Hamza El Rhaffouli is a Senior Data Scientist at Rakuten Advertising, with a background in Applied Mathematics and Computer Science from École Polytechnique. He has experience in various roles, including teaching and internships, and has developed a personal project, tutobase.com, focused on educational resources.

Work at Rakuten Advertising

Hamza El Rhaffouli currently serves as a Senior Data Scientist at Rakuten Advertising, a position he has held since 2021 in the Paris, Île-de-France area. Prior to this role, he worked as a Data Scientist at the same company from 2017 to 2021. His experience at Rakuten Advertising encompasses data analysis and the application of data science techniques to enhance advertising strategies.

Education and Expertise

Hamza El Rhaffouli studied at École Polytechnique, where he focused on Applied Mathematics and Computer Science, achieving a Graduate Student status from 2012 to 2016. He furthered his education at École Nationale des Ponts et Chaussées, specializing in Machine Learning and Computer Vision from 2015 to 2017. Additionally, he completed a Master 2 in Mathematics, Vision, and Learning at École Normale Supérieure de Cachan from 2015 to 2016.

Background

Hamza El Rhaffouli has a diverse background that includes experience in both education and industry. He worked as a Teaching Assistant at Ministère chargé de l'Éducation nationale for seven months in 2012-2013. He also completed research internships at ETH Zürich in 2015 and held a summer internship at Lafarge in 2014. His early education includes a Bachelor's Degree in Mathematics, Physics, and Industrial Sciences from Lycée Moulay Youssef - Rabat.

Personal Projects and Innovations

Since 2021, Hamza El Rhaffouli has been working on a personal project called tutobase.com. He implemented various features on the platform, including a voting system for posts and comments, a filtering system for learning resources, and a ranking system for content. He utilized a tech stack that includes TypeScript, NodeJS, GraphQL, Postgres, Redis, React, and NextJS to develop both the backend and frontend of the site.

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