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Clément Olivier

data scientist

En télétravail depuis Lyon

  • 45.752181
  • 4.840823
Proposer une mission La mission ne démarrera que si vous acceptez le devis de Clément.
Proposer une mission La mission ne démarrera que si vous acceptez le devis de Clément.

Localisation et déplacement

Lyon, France
Effectue ses missions majoritairement à distance


E-mail vérifié


Compétences (9)


Miuros - H7

Senior Data Scientist in Natural Language Processing

Lyon, France

mai 2019 - Aujourd'hui (3 ans et 3 mois)

At Miuros the datascience team leverages AI to enhance digital tools to help customer services through data driven approaches. My role in the team:
- Explore state-of-art NLP technologies, in particular unsupervised learning, with the aim of designing a new product meant to discover trending topics mentionned in customer messages. Closely working with the customer team.
- Test, implement and provide through API, NLP proof-of-concept tools to expand products.
- Implement interactive user interface to investigate the benefit of human-in the-loop processes.
- Improve in-production models (Classification, Recommender System) in terms of technology, accuracy, computational cost and monitoring.
- Onboard new customer: configure, train, evaluate and deploy models. NLP technologies:
-Text clustering (Umap + HDBscan, Auto-Encoders)
-Few shot learning (Prototypical Network)
-Language Model (Bert, Sentence transformer, ~FastText)
-Keyword Extraction
-Topic Modeling (Correx) Stack: Pytorch, Tensorflow, Transformer, Scikit-Learn, Spacy, FastAPI, VueJS, Docker, AWS and more

OWI Technologies

R&D Engineer in Natural Language Processing

1113 Dragon St, Dallas, TX 75207, USA

janvier 2018 - mai 2019 (1 an et 4 mois)

My work consists in improving and implementing new components of our Natural Language Understanding model. Some projects :
- Implementation of a ML algorithms to improve the relevance our email suggestion response module (Python)
- Improvement of our chatbot workflow to manage more complex scenarios (C ++) Keywords : ✔ Machine Learning ✔ Natural Language Understanding ✔ Automated Response Suggestion ✔ Chatbots ✔ Data Analysis ✔ Intention Detection


PhD in Applied Mathematics for digital transformation (CIFRE Convention)

78114 Magny-les-Hameaux, France

novembre 2014 - décembre 2017 (3 ans et 1 mois)

I proposed during my PhD thesis an innovative machine learning algorithm enabling to construct surrogate models for highly expensive physical models. The methodology is based on a tensor decomposition framework that I have developed. The method is applied to approximate outputs of interest of mechanical simulations involving non-linear constitutive material laws. I have implemented from scratch my predictive model in Python and designed an interactive and collaborative tool in Javascript to visualize in real-time the outputs and compare it with the physical data. This tool is used by experts in material science to efficiently understand and manipulate the outputs of physical models. Keywords : ✔ Machine learning ✔ Approximation of highly expensive model ✔ Development of numerical tools for experts ✔ Big data ✔ Tensor decomposition techniques ✔ Data-intensive computing During my PhD, I attended and presented my work at various international conferences: Projection Based Model Reduction, Oberwolfach, Germany Tensor Decompositions and Applications, Leuven, Belgium Workshop on Order Reduction Methods, Bad Herrenald, Germany U.S. National Congress on Computational Mechanics, Montréal, Canada

MINES ParisTech

Teaching Assistant - Mastère Design des Matériaux et des Structures

Évry, Évry-Courcouronnes, France

octobre 2015 - décembre 2015 (2 mois)

Recommandations externes

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