Freelancer profile translated to English.
Back to original languageAbout Jean-Baptiste
Hello,
Jean-Baptiste, Data scientist and Deep Learning engineer with 2 years of experience.
I can assist you on a punctual or long-term basis with the following missions:
- Creation, maintenance of Machine Learning / Deep Learning pipelines in Python
- Improvement of your models (Pytorch)
- Advice on technical points
I am competent in the following areas:
- Computer Vision
- Reinforcement Learning (RL)
- Machine Learning / Deep Learning in general
Recently, I finished in the top 5% in a Kaggle challenge for Deepfake detection organized by Facebook, Microsoft, and AWS.
Do not hesitate to contact me to learn more and discuss your projects.
English
Fluent
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- Terranoha SA
On Malt
NLP Consulting - ChatbotDecember 2022 - December 2022Tours, France- Skill development on the Rasa framework- Practical advice to optimize your NLP model (Intent classification, Entity Extraction)- Testing of different pipelines and optimization of the existing model- Writing a report on identified problems and proposed solutions - ANSEMIAData ScientistJuly 2021 - August 2021 (1 month)- Implementation of a deepfake video detection model- API integration + Dockerization of the code- Optimization of the previous code
- TrendysData ScientistAugust 2020 - September 2020 (1 month)Implementation of a visual recognition system for clothing products using Google API Vision.
Reviews
Sylvain
Wildcard
Reviewed on 11/16/2020
Thank you Jean Baptiste!
A good sparring partner for this afternoon of work :)
F
Fabrice
Trendys
Reviewed on 9/14/2020
Jean-Baptiste was tasked with developing a visual recognition solution for clothing with Google API Vision.
The result is exactly what we expected and the project was delivered on time.
Recommendations
AJ
FU
+1
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Education
- Computer Engineering Degree, specializing in data miningUniversity of Technology of Compiègne (UTC)2020Durant mon parcours j'ai obtenu une solide formation mathématique (label "mod math") et statistique, en plus des cours de programmation. Les cours notables que j'ai suivi sont les suivant : - Apprentissage automatique - Analyse de données et data mining - Data warehouse et outils décisionnels - Apprentissage profond - Avancées en apprentissage statistique - Modélisation de phénomènes aléatoires