Tiphaine Fabre
Analyste De Données at MAIF
Niort, Nouvelle-Aquitaine, France
Summary
🤩
Rockstar🎓
Top SchoolTiphaine Fabre is a data professional with six years of experience blending bioinformatics and applied data science, currently working as an Analyste de Données at MAIF with a focus on fraud detection and LCBFT. Trained as an engineer in Medical Biology/Bioinformatics and completing a mastère spécialisé in Data Science at INSA Rouen, she has held roles spanning NLP-driven email projects, cross-functional data science work, and Python-based tooling for bioinformatics. Comfortable moving between research and production environments, she brings domain depth from healthcare and life sciences into insurance and fraud analytics. Based in Niort, she prefers regional positions (Normandie/Loiret) and avoids traditional SSII arrangements, signaling a strong fit for mission-driven teams seeking someone who pairs rigorous statistical thinking with practical deployment experience.
6 years of coding experience
9 years of employment as a software developer
Mastère specialized Expert in data science Mathematics informatics data science, Mastère specialized Expert in data science Mathematics informatics data science at INSA Rouen NormandieEngineer's degree Medical Biology Bioinformatics, Engineer's degree Medical Biology Bioinformatics at Polytech'Nice-Sophia
French, English, German, Spanish
Github Skills (18)
feature-extraction10
classification10
extraction10
nlp10
ais10
nlp-machine-learning10
interpretable-machine-learning9
python9
lime9
natural-language-processing9
transparency9
iml8
machine-learning8
xai8
machine-learning-models8
Programming languages (2)
Github contributions (3)
TFA-MAIF/melusine
Nov 2019 - Jun 2022
Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Contributions:37 pushes, 2 branches in 2 years 8 months
nlpsentenceextractionpythonspell-checker
MAIF/melusine
Nov 2019 - Jun 2022
📧 Melusine: Use python to automatize your email processing workflow
Contributions:2 releases, 8 reviews, 96 commits in 2 years 8 months
nlpextractionpythonfeature-extractionhigh-level
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