Jm M.

lead data scientist, machine learning engineer

Peut se déplacer à Paris

  • 48.8922
  • 2.3444
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Jm.
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Jm.

Localisation et déplacement

Paris, France
Peut travailler dans vos locaux à
  • Paris 18e Arrondissement et 50km autour


  • E-mail vérifié



Compétences (10)

Jm en quelques mots

Currently working on a personal project. Before that, I was Head of Data Science (managed 10 data scientists) at MindLytiX for one year and a half. Before that, I was a Research Engineer, specialized in NLP, in a company at Proxem for 3 years.

Machine Learning Engineer interested in putting some AI in processed to help people! Interested in remote missions, not more than 2 days a week.
- Natural Language Processing
- Machine Learning, Deep Learning
- Python, Java, C#, Elasticsearch/Lucene, Spark, SQL



High tech

Research Engineer

Paris, France

septembre 2014 - mai 2017

At Proxem, our clients ask us to extract information from e-mails, social medias, press articles, and basically any type of text you can imagine. In the standard case, the text to process is written in various languages. To establish systems that support a wide scale of languages and formats is the main mission of our Research team.

My domains of research:
- Deep Learning / Representation Learning for Natural Language Processing
- Document Classification : from the bottom-up (i.e clustering) and from the top-down (i.e supervised, ontology-based classification)
- Sentiment Analysis, Disambiguation, Named Entity Recognition, etc.


High tech

Head of Data Science

Paris, France

mai 2017 - Aujourd'hui

The next generation of real-time consumer knowledge & media targeting.
MindLytix is a Marketing and Advertising Technology company focused on improving branding communication through dynamic consumer journey analysis and moment of life targeting.

The main mission of the Data Science team:
- Web Page Classification in tailor-made taxonomies
- Real-time, dynamic qualification of web users
- Click and Conversion prediction of users
- Automated Insights on audiences

I've managed an 8 person data science team

Recommandations externes


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