Candice Moyet
Data Scientist
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolCandice Moyet is a data scientist with four years of experience, currently at Quantmetry (Capgemini Invent) where she builds and productionalizes demand and inventory forecasting models for a luxury retail client. She has strong academic foundations from Sorbonne Université (M2 in Data Science/AI) and practical experience implementing uncertainty-aware regression methods, contributing code to the MAPIE uncertainty-estimation library. Her background spans NoSQL data management, semantic graph search for document retrieval, and API development, enabling end-to-end solutions from data engineering to model deployment. Based in Paris, she combines research-minded metric design with hands-on production improvements, and prefers projects that bridge theoretical rigor and real-world supply chain impact.
4 years of coding experience
1 year of employment as a software developer
Master 2 (M2), Data Science / Intelligence Artificielle, Master 2 (M2), Data Science / Intelligence Artificielle at Sorbonne UniversitéBaccalauréat scientifique, Baccalauréat scientifique at Lycée Chaptal
English, Spanish, Italian
Github Skills (10)
sklearn10
prediction10
regression10
prediction-intervals10
python10
data-science10
classification10
scikit-learn9
scikit9
machine-learning9
Programming languages (2)
Github contributions (3)
candicemyt/PLDAC
Feb 2022 - Sep 2022
Contributions:26 pushes in 6 months
candicemyt/projetML
Sep 2022 - Sep 2022
Contributions:4 pushes in 1 day
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