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François C.FC

François C.

CDO, Head of Data Science, Engineering & AI

€1,100/day
Biarritz, FR
8-15 years

Average response time: 1 hour

About François

CDO, Head of Data Science, Engineering & AI avec plus de 8 ans d'expérience dans le domaine de la santé, la recherche, du conseil en stratégie, de la sécurité et du marketing.

Je peux vous accompagner sur tout type de projet data:

- Définition de cas d'usage innovants;
- Réalisation de POC;
- Industrialisation de solutions;
- Formation et/ou recrutement de vos équipes;
- Accompagnement du changement au sein de vos structures.

Disponible pour tout type de projet et durée (du simple workshop sur une demi-journée au projet annuel).
  • English

    Native or bilingual

  • French

    Native or bilingual

Can work on-site
Biarritz (up to 50km), Paris (up to 10km)

Experience

  • Bankin'
    Chief Data Officer
    BANKING AND INSURANCE
    June 2022 - Today (4 years)
    Paris, France
  • Imperial College London
    Recherche Neurosciences
    RESEARCH
    September 2018 - January 2020 (1 year and 4 months)
    Cité de Londres, United Kingdom
    Developed a Neural Source Extraction and Exploration pipeline for in vivo 2 photon calcium experiments. Defined and developed a series of 3 algorithms for motion correction, regions of interest detection & selection and calcium dynamics deconvolution using energy-based models.
  • Artefact
    Head of Data Science and Artificial Intelligence
    CONSULTING AND AUDITS
    June 2018 - September 2020 (2 years and 3 months)
    Cité de Londres, United Kingdom
    Hired and Managed a team of 15+ data scientists, data engineers and consultants to provide innovative and scalable
    solutions to the CAC40's data marketing needs.
    Sectors: Insurance, Finance, Automotive, Retail, CPG, Travel, Luxury
    Case studies:
    - Churn detection
    - Next best action product recommendation
    - Prospect scoring
    - Customer journey optimization
    - Persona identification
    - Performance measurement
    - Marketing mix modeling
    - Media attribution
    - Object detection
    - Latent topic detection
    - Recommendation engine
    Scope:
    - Real-time and batch data collection and modeling
    - Applied deep learning, machine learning and statistical analysis
    - Governance, management, and organization
    - Reporting and data delivery
    Technologies:
    - Spark
    - Kafka
    - HDFS
    - Cassandra
    - Storm/Trident
    - Elasticsearch
    - Ansible/Docker
    - Google Cloud Platform
    - Amazon Web Services

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Education

  • Artificial Intelligence and Neurosciences
    Imperial College London
    2015

Certifications

  • Google Cloud Platform Professional Data Engineer
    Google

Skill set

Categories