Search for a freelancer Post a project
Malt welcom

Welcome to Idrissa's freelance profile!

Malt gives you access to the best freelancers for your projects. Contact Idrissa to discuss your project or search for other freelancer profiles on Malt.

Idrissa Magassa

Data Scientist/Engineer

Can work in or around Paris

  • 48.8546
  • 2.34771
  • Suggested rate €500 / day
  • Experience 0-2 years
Propose a project The project will begin once you accept Idrissa's quote.
Propose a project The project will begin once you accept Idrissa's quote.

Location and workplace preferences

Location
Paris, France
Can work onsite in your office in
  • around Paris and 50km

Preferences

Project length
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Business sector
  • E-commerce
  • Tech
  • Publishing
  • Social Networks

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Reputation

Languages

  • French

    Native or bilingual

  • English

    Fluent

Categories

Skills (18)

Idrissa in a few words

I'm a passionate Data-Scientist, i did my last professional experience in an E-commerce company. My roles were to build machine learning models for product categorization on marketplaces, also collect data (scraping, API), clean it, store it and make it valuable for business team. I almost use python for my projects and for cloud services i often use aws.

​​

I had a strong mathematical background, at school I worked on several projects: to simple machine learning project with scikit-learn to the complex ones on deep-learning with tensorflow.

Experience

Dropix

E-commerce

Data scientist

Lyon, France

September 2019 - September 2020 (1 year1 year)



Focused on developing machine learning models, deployment, testing, scaling

Automatize products categorization on marketplaces using titles and descriptions
Scraped data about products informations from differents sources.



Presented several talks on Machine Learning internal projects

Collect, clean, store data and make it valuable for business team

Education