Freelancer profile translated to English.
Back to original languageAbout Emmanuel
I am a dedicated professional in the field of Data Science, taking on the role of Data Scientist with commitment and passion. Lead Data Scientist with over 6 years of experience in data analysis, forecasting, and prediction. Expert in Machine Learning, Deep Learning, and Data Science tools, I have led innovative projects to optimize strategic decision-making across various sectors.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Rennes (up to 50km), Lyon (up to 50km), Lille (up to 50km)
Experience
- MacifData ConsultantBANKING AND INSURANCESeptember 2025 - Today (9 months)Paris, FranceAssistance in migrating SAS processes and models to Dataiku DSS:
- Analysis of existing processes
- Definition of the target architecture,
- Rewriting workflows and automation in Dataiku.
Objective: reduce SAS-related costs and leverage Dataiku's collaborative and scalable features. - CNP AssurancesData Scientist: Responsible for Performance MonitoringBANKING AND INSURANCENovember 2024 - July 2025 (8 months)Issy-les-Moulineaux, France
- Liaison with the CDO
- Contribution to the deployment of data models
- Maintains data models under Dataiku / Knime
- Data organization, reporting automation using the department's DATA Platform (Dataiku / Knime, Python,
QlikSense / Tableau, ...) for the General Managementmulti-activities (Partnership, ...)- Creation and evolution of performance monitoring indicators in a multi-product (P&C, Health, Provident) and multi-activity (Partnership, ...) context
- Co-design of relevant operational performance indicators for evaluating the department's gain/cost projects
- Assistance to ABP Pole projects by supporting business units in this measurement and projection approach
- Contribution to financial ROI and monitoring
- Ministère chargé des Affaires sociales : CDI chez TNP ConsultantseVote - Data Quality Improvement for the Election of Trade Union Representatives of VSEsPUBLIC SECTORAugust 2023 - Today (2 years and 10 months)
- Collected and analyzed data from various organizations (DNUM, DARES, etc.).
- Improved data quality with an automatic anomaly reduction of 80%.
- Processed textual data and detected fuzzy duplicates across multiple variables.
- Developed and deployed the processing pipeline via AWS lambdas and batches.
- Built dashboards on Amazon Quicksight (AWS)
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Education
- Data Scientist, quantitative marketing and revenue managementNational School of Statistics and Information Analysis (Ensai)2017
- Applied Statistics EngineerISSEA,2015Ingénieur d'application de la statistique
Certifications
- Sentiment Analysis with Deep Learning using BERTCoursera2020