About Quentin
- Missions en Data Engineering & Data Science
- Formateur Big Data pour les entreprises (BNP, CPAM, DataRockstars, ...)
- Professeur de Big Data niveau master 2 à l'université catholique de Lille
- Data Engineering : Developpement et industrialisation d'ETL (Big Data, Cloud)
- Formation/Enseignement
- Traitement de la données, Analyses statistique, Machine Learning
French
Native or bilingual
English
Fluent
Spanish
Conversational
Experience
- WeWorld-GVC - Humanitarian SectorData Analyst - EU Aid VolunteerCIVIC AND SOCIAL ORGANIZATIONSJune 2022 - December 2022 (6 months)Beyrouth, LebanonHumanitarian food security projects - Akkar District - Lebanese & Syrians populations :
- Monitoring and data cleaning of the data collection process (Validation assesmments, PDM, ...)
- Implementation of scoring methodologies to select the most vulnerable beneficiaries
- Statistical studies of the indicators used for beneficiaries selection
- Improvement of questionnaires and training of enumerators
Transversal activities :- Creation of interactive monitoring dashboards
- Teams training on Data Visualization and Data Analysis
- Faculté de Gestion, Economie & Sciences - Université catholique de LilleProfessor - Big DataEDUCATION AND E-LEARNINGMay 2022 - Today (4 years and 1 month)Lille, FranceResponsible for teaching the "Big Data & NoSQL" course for the Cyber MSc and Data & AI MSc programs
- WiiisdomLead Data EngineerSOFTWARE PUBLISHINGNovember 2020 - August 2021 (10 months)Analytical platform for monitoring user activities on BI software :
- Leading the design of the project’s data architecture and making technical stack choices (Python, SQL, AWS RDS, AWS Lambda)
- Programming the entire data backend of the platform
- Seamlessly integrating diverse data sources (BO, Power BI, Tableau),
overcoming data structure and enrichment challenges- Developing complex data management pipelines for user interaction features, utilizing graph data structure and algorithms
- Coordinated solution deployment on AWS cloud with DevOps teams
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Education
- Master of Science - Statistics, Machine LearningENSAE2014
- Master of Science - Statistics, Econometrics, EconomicsToulouse School of Economics (TSE)2013Major