À propos de Cyril
A Senior Data Scientist with a strong foundation in Computer Science and Applied Mathematics, specializing in building and deploying end-to-end Machine Learning systems. Possessing comprehensive expertise in algorithms & data structures, linear algebra, calculus, and Bayesian statistics. Proven experience in leading data science teams and driving complex projects from research to production, ensuring robust deployment with tools like FastAPI and Docker. Adept at implementing solutions in finance and fraud detection, with hands-on experience in MLOps and AWS/GCP technologies. A proactive, can-do leader with a proven track record of ownership, effective communication, and data-driven innovation.
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Italien
Capacité professionnelle complète
Espagnol
Capacité professionnelle complète
Japonais
Notions
Chinois
Notions
Accepte de travailler sur site
Nice (jusqu’à 50 km)
Expériences
- CofaceSenior Data ScientistBANQUE & ASSURANCESoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Paris, France• • Project Manager on 2 different projects facilitating the orchestration, prioritisation and direction of the development for junior and intermediate Data Scientists.• • Developed of an NLP ensemble model (fine-tuned SBERT + TF-IDF) to automatically identify and classify contract clauses, reducing manual review time for legal teams by an estimated 40%. Model deployed on an Airflow job for batch processing.• • Led the end-to-end implementation and deployment of a company default prediction model, strategically selecting Logistic Regression over LGBM to prioritise model explainability and regulatory compliance over marginal performance gains. Deployed on a FastAPI micro-service.• • Engineered a new AntiChurn project using LGBM, replacing a legacy LSTM based model to reduce training time by 92% and reduced inference time from 1h45 to 7 minutes, simplifying model maintenance and deployment.• • Part of the software architecture committee of the team, responsible for evangelising on good software engineering practices and harmonisation of technical stack across team's projects
- Sewan -Data ScientistTÉLÉCOMMUNICATIONSmars 2021 - septembre 2023 (2 ans et 6 mois)Paris, France• •Designed and implemented a Data Lake within the AWS ecosystem, using S3, Glue, and Athena to establish a robust big data infrastructure.• •Developed and deployed an effective anti-fraud ML system using LightGBM and Autoencoders, incorporating Active Learning to mitigate the high cost of data labeling and maximize model efficiency.• •Acted as Scrum Master, directly managing project workflow, team prioritization, and communication to ensure a transparent and efficient development cycle.
- Amadeus -Software Engineernovembre 2019 - février 2021 (1 an et 3 mois)Nice, FranceOptimized Passenger Recovery project designed to reaccommodate huge batches of passengers having a disruption during their trips.
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Formations
- MScENSIMAG, Grenoble INP2019MSc Computer Science and Applied Mathematics
- Erasmus Exchange SemesterKingston University London2018Erasmus Exchange Semester