Welcome to Mathieu's freelance profile!
Location and workplace preferences
- Location
- Paris, France
- Can work onsite in your office in
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- around Paris and 50km
Preferences
- Project length
-
- ≤ 1 month
- Between 1-3 months
- Between 3-6 months
- ≥ 6 months
- Business sector
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- Banking & Insurance
- Research
- Consulting & Audits
- Software Publishing
- Education & E-learning
+2 other
- Company size
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- 1 person
- 2-10 people
- 11 - 49 people
- 50 - 249 people
- 250 - 999 people
+2 other
Verifications
Freelancer code of conduct signed
Read the Malt code of conduct
Reputation
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Languages
Categories
Skills (27)
- Frameworks
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Beginner Intermediate Advanced
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- Languages
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
Mathieu in a few words
Etudiant en double diplôme à HEC Paris et aux Mines paris. Je suis également titulaire d'un Master 2 en informatique appliqué à l'intelligence Artificielle.
je suis passionné par la data science et l'intelligence artificielle ainsi que leur application à l'industrie. Mon champ de compétence comprend: maitrise de python et des bibliothèques de deep learning et de machine learning, maitrise de SQL et spark. J'ai aussi des compétences en développement Front end notamment react, css, html et suis très intéressé par travailler dans ce secteur.
je suis passionné par la data science et l'intelligence artificielle ainsi que leur application à l'industrie. Mon champ de compétence comprend: maitrise de python et des bibliothèques de deep learning et de machine learning, maitrise de SQL et spark. J'ai aussi des compétences en développement Front end notamment react, css, html et suis très intéressé par travailler dans ce secteur.
Experience
bnpparibas - BNP
Tech
Data Scientist (NLP researcher)
Worked on Multilingual Neural Machine Translation models :
- Wrote a paper on a new domain adaptation approach for Multilintual NMT models (M2M100 & mBART50).
- Build Operational Pipeline to do training of new Multilingual NMT models
- Made benchmark between multilingual NMT models and bilingual NMT models.
- Worked with Pytorch, bitbucket, Docker, MlFlow
- worked with docker, go, Kubernetes
- Wrote a paper on a new domain adaptation approach for Multilintual NMT models (M2M100 & mBART50).
- Build Operational Pipeline to do training of new Multilingual NMT models
- Made benchmark between multilingual NMT models and bilingual NMT models.
- Worked with Pytorch, bitbucket, Docker, MlFlow
- worked with docker, go, Kubernetes
Prophesee - Prophesee
Mechanical Engineering
Machine Learning and Computer Vision Intern
Worked on machine learning algorithms for event-based applications
-Review of state of the art & evaluation metrics
-Design and implementation of algorithms and machine learning methods (Pytorch),
-Acquisition and cleaning of experimental datasets,
-Evaluation of the developed approaches.
Topics covered: Denoising (checkerboard artifacts), Alignment of Frame and Event Based Data, Disparity Estimation and Optical Flow computations.
-Review of state of the art & evaluation metrics
-Design and implementation of algorithms and machine learning methods (Pytorch),
-Acquisition and cleaning of experimental datasets,
-Evaluation of the developed approaches.
Topics covered: Denoising (checkerboard artifacts), Alignment of Frame and Event Based Data, Disparity Estimation and Optical Flow computations.
MINES ParisTech
Tech
Research Intern in Deep Learning (Image & Modelisation)
Anomaly Detection using Unsupervised Deep Learning (development made with Keras and Tensorflow)
CIMP
Tech
Full Stack Developer
• CiMP is a social network for culture, including recommendation systems, adding favorite books, movies…
• Used React-Native, Javascript to develop the front end of the application.
• Used Flask (python) and SQL to develop the back end of the application based on the utilization of data
• Used React-Native, Javascript to develop the front end of the application.
• Used Flask (python) and SQL to develop the back end of the application based on the utilization of data
Tennis Club
Tennis referee and teacher
Recommendations
Check out Mathieu's recommendations