Freelancer profile translated to English.
Back to original languageAbout Théo
Hello, I am a Data Scientist specialized in Machine Learning and very enthusiastic about recent breakthroughs in Generative AI.
Here is some key information about my profile:
🎓 Education: Master Data Sciences and Business Analytics ESSEC - CentraleSupélec
💡 Experiences: L'Oréal, Artefact (ETL, Forecasting, Recommendation Systems, NLP, OCR, Computer Vision, Dashboard, Webapp...)
🌐 Languages: Python, SQL, DBT
🎯 Skills: Generative AI (LLMs), Machine Learning, Deep Learning, Visualization, Dashboarding (LookerStudio, PowerBi), Forecasting, Recommendation System
☁️ Clouds: GCP
🏆 Awards:
★ First Prize Capgémini Invent Hackathon in November 2022: Design of an application to monitor climate change and aid in its awareness, powered by Computer Vision.
★ Third Prize BCGx Hackathon in November 2023: Design of a traffic prediction model for 3 road axes in Paris.
I would be delighted to discuss your needs with you.
See you soon!
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Artefact (AE)Analytics EngineerDIGITAL AND ITMarch 2023 - September 2023 (6 months)Paris, FranceCollaboration with a cross-functional team of 30 Data Analysts, Data Scientists, and Data Engineers to develop and deploy a highly accurate ROI prediction application for Samsung's global marketing campaigns, incorporating +1000GB from over 200 marketing sources across 5 countries.
- L'OREAL SABusiness Intelligence AnalystFASHION AND COSMETICSApril 2023 - July 2023 (4 months)Paris, FranceDesign and implementation of a robust data infrastructure, development of transformation pipelines for over 100 data sources, creation of 20 Dashboards for 5 departments at L'Oréal, and ensuring their regular updates and accuracy.
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Education
- Data Sciences and Business AnalyticsCentraleSupélec - ESSEC Business School#3ème Master au monde en Business Analytics (QS, 2023) #1er Master en Europe en Business Analytics (QS, 2023) Le Master in Data Sciences & Business Analytics combine les ressources professorales de deux des plus prestigieuses écoles de commerce et d'ingénieurs en Europe, l'ESSEC Business School et CentraleSupélec. ➢ Cours pertinents : Machine Learning for Network Science, Advanced DeepLearning, NLP, Reinforcement Learning (apprentissage par renforcement), Ensemble Learning, Data Visualisation
- Parcours Grande EcoleEcole National des Arts et Métiers2023#3ème école française en génie mécanique GPA : 3,71/4 Cours pertinents : Mécanique des solides, science des matériaux, Electronique/Automatique, Mécanique des Fluides, Dynamique des Solides, Statique des Solides, Energétique