Welcome to Quentin's freelance profile!
Location and workplace preferences
- Location
- Lille, France
- Remote only
- Primarily works remotely
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Languages
Categories
Skills (31)
- BigData
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
- Data Science
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
- Databases
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Beginner Intermediate Advanced
Quentin in a few words
Bonjour,
Je suis Data Scientist & Data Engineer avec 5 années d'expérience professionnelle dans une société de conseil et 3 ans en tant que freelance.
Actuellement, dans le cadre de mes activités Freelance :
Je suis spécialisé en :
J’ai une solide expérience dans la conception et la mise en œuvre de solutions de data engineering et de data science, en utilisant des technologies telles que Python, SQL, AWS, Spark, Hadoop, Hive et Kafka. J’ai également une réelle expertise dans l’environnement big data et dans l’utilisation du cloud computing pour traiter et analyser des volumes importants de données de manière efficace et évolutive. J’ai également une connaissance approfondie des méthodologies statistiques et des techniques de machine learning, qui me permet de gérer des projets orientés data science allant de l’examen de la littérature scientifique, à la collecte et au nettoyage des données, jusqu’à l’analyse statistique approfondie et à la modélisation ML/IA.
Au plaisir d'échanger avec vous sur vos besoins
Je suis Data Scientist & Data Engineer avec 5 années d'expérience professionnelle dans une société de conseil et 3 ans en tant que freelance.
Actuellement, dans le cadre de mes activités Freelance :
- 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
Je suis spécialisé en :
- Data Engineering : Developpement et industrialisation d'ETL (Big Data, Cloud)
- Formation/Enseignement
- Traitement de la données, Analyses statistique, Machine Learning
J’ai une solide expérience dans la conception et la mise en œuvre de solutions de data engineering et de data science, en utilisant des technologies telles que Python, SQL, AWS, Spark, Hadoop, Hive et Kafka. J’ai également une réelle expertise dans l’environnement big data et dans l’utilisation du cloud computing pour traiter et analyser des volumes importants de données de manière efficace et évolutive. J’ai également une connaissance approfondie des méthodologies statistiques et des techniques de machine learning, qui me permet de gérer des projets orientés data science allant de l’examen de la littérature scientifique, à la collecte et au nettoyage des données, jusqu’à l’analyse statistique approfondie et à la modélisation ML/IA.
Au plaisir d'échanger avec vous sur vos besoins
Experience
WeWorld-GVC - Humanitarian Sector
Civic & Social Organizations
Data Analyst - EU Aid Volunteer
Humanitarian food security projects - Akkar District - Lebanese & Syrians populations :
Transversal activities :
- 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 Lille
Education & E-learning
Professor - Big Data - As a freelancer
Responsible for teaching the "Big Data & NoSQL" course for the Cyber MSc and Data & AI MSc programs
Wiiisdom
Software Publishing
Lead Data Engineer - As a freelancer
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),
- Developing complex data management pipelines for user interaction features, utilizing graph data structure and algorithms
- Coordinated solution deployment on AWS cloud with DevOps teams
Freelance Big Data training
Education & E-learning
Trainer - Big Data - As a freelancer
Delivered complete Big Data training to companies (BNP Paribas, CPAM, ...)
OpenClassrooms - Openclassrooms
Education & E-learning
Mentor - Data Science & Data Engineering - As a freelancer
Responsible for one-to-one mentoring of students in the "Data Science" and "Data Architect" tracks
EY - EY France
Consulting & Audits
Senior Consultant
Three consulting missions in Data Science/Data Engineering (EDF, L'Oréal, Air France).
See experiences below for more details
In addition of my main activities I realised various internal training workshops (Web Scraping, Big Data) and junior analyst’s one-time coaching on technical issues
See experiences below for more details
In addition of my main activities I realised various internal training workshops (Web Scraping, Big Data) and junior analyst’s one-time coaching on technical issues
EDF - Groupe EDF
Energy & Utilities
Senior Data Engineer
Integration, enrichment and analysis of web tracking data:
- Migration of Comscore web tracking tool to Google Analytics: complete overhaul of integration workflow. Interface with Google Cloud’s APIs (Python)
- Hadoop storage of the raw web tracking data and creation of a Datamart: data cleaning, calculation of indicators, data enrichment (PySpark, Hive)
- End to end industrialization from Google Analytics to Datamart
- Implementation of application monitoring to control data quality integration (Docker, ELK)
- Developed R packages to allow Data Scientists to access Hadoop data
L’Oréal S.A - L’Oréal France - L'Oréal Groupe
Luxury Goods
Data Scientist
Sunscreen Simulator:
• Implemented machine learning algorithm (Random Forests) to predict Sun Protection Factor (SPF)
• Integrated into a web application (R Shiny) to simulate new kinds of sunscreens by chemists
• Implemented machine learning algorithm (Random Forests) to predict Sun Protection Factor (SPF)
• Integrated into a web application (R Shiny) to simulate new kinds of sunscreens by chemists
Air France - Groupe Air France
Aviation & Aerospace
Data Scientist
Implementation of a destinations recommender system:
• Built a recommender system proposing personalized destinations to customers
• Development of key performance indicators for assessing the quality of the recommendation
• Built a recommender system proposing personalized destinations to customers
• Development of key performance indicators for assessing the quality of the recommendation
airbus - AIRBUS GROUP
Aviation & Aerospace
Intern Data Scientist
Spatial interaction model for Origin-Destination air passengers flows:
Publication of a scientific article showing the importance of spatial dependency between airports geographically close in the prediction of air passengers traffic
Link article : http://publications.ut-capitole.fr/18729/1/wp_tse_494.pdf
Publication of a scientific article showing the importance of spatial dependency between airports geographically close in the prediction of air passengers traffic
Link article : http://publications.ut-capitole.fr/18729/1/wp_tse_494.pdf
Toulouse School of Economics
Education & E-learning
Teaching Assistant Microeconomics
INRA
Research
Intern Statistician
Study of price transmission in the dairy sector in the context of the European TRANSFOP project:
• Study of the sensitivity of consumer prices following a producer prices shock
• Time series model to capture causal impact: Error Correction Model (ECM)
• Study of the sensitivity of consumer prices following a producer prices shock
• Time series model to capture causal impact: Error Correction Model (ECM)
Oney Bank - BPCE
Banking & Insurance
Intern Statistician
Banking activities reporting:
• Creation of financial KPIs (SQL, SAS)
• Reporting automation (VBA)
• Creation of financial KPIs (SQL, SAS)
• Reporting automation (VBA)
2 recommendations
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