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Clémentine BourquardCB

Clémentine Bourquard

Senior Data Scientist & ML Engineer

€550/day
2 projects
Paris, FR
3-7 years

Average response time: 2 hours

Freelancer profile translated to English.
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About Clémentine

I support companies on data science projects for the implementation of complete Machine Learning and AI solutions, with particular attention to the reliability of pipelines and operational performance.

Specializing in the design, deployment, and industrialization of Machine Learning solutions, I work on the entire lifecycle of a model: data preparation, training, evaluation, deployment, and monitoring in production.

I can help you to:
  • Develop and train models adapted to your use cases
  • Structure and make your data pipelines reliable
  • Deploy models in production (cloud or on-premise)
  • Industrialize ML workflows (MLOps, monitoring, automation)
  • Optimize existing pipelines
  • Implement data architectures oriented towards ML
Examples of projects I work on:
  • Design and training of ML models on complex datasets
  • Production deployment and orchestration of ML pipelines
  • Performance optimization of existing pipelines
  • Industrialization of existing data projects
With international experience at Orange (France, Jordan, Ivory Coast), practical experience in agile and multicultural environments, and co-founder of a consulting firm specializing in data activation, I can combine technical rigor with a strong understanding of business challenges.

My goal: to deliver reliable, maintainable data solutions that can be directly used by your teams.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Fluent

  • Arabic

    Basic

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

Experience

  • BriqUp
    Co-founder, Data & Tech Lead
    TECH
    July 2025 - Today (1 year and 1 month)
    Paris, France
    • Define and manage client data architecture (collection, storage, transformation), implementing governance frameworks ensuring data reliability, quality, and traceability.
    • Design and deploy automation workflows and artificial intelligence solutions to optimize CRM usage, customer segmentation, and marketing targeting.
    • Create structured dashboards and performance reports, transforming complex and heterogeneous data into actionable insights for business, marketing, and management teams.
    Data Architecture Data Engineering Data Visualization Data Science Marketing
  • Orange
    Data Scientist Specialist
    TELECOMMUNICATIONS
    May 2024 - June 2025 (1 year and 1 month)
    Abidjan, Côte d'Ivoire
    Member of the Orange MEA DataSquad at Orange Côte d'Ivoire, specializing in deploying AI data solutions. Development and production deployment of Machine Learning use cases (classification, clustering, generative AI) addressing concrete business problems.
    • Design and end-to-end automation of ML pipelines in an on-premise environment, from data ingestion to model deployment.
    • Industrialization of use cases by integrating MLOps best practices (CI/CD, monitoring, versioning).
    • Refactoring and standardization of existing use cases to improve performance, maintainability, and multi-country replication.
    • Deployment of AI solutions across several Orange MEA subsidiaries, with support for local teams (training, documentation, knowledge transfer).
    Machine Learning MLOps Refactoring ML Engineer Retrieval-Augmented Generation (RAG)
  • Orange
    Data Scientist - Orange Graduate Programme
    TELECOMMUNICATIONS
    January 2022 - February 2024 (2 years and 1 month)
    Amman, Jordan
    Member of the Orange MEA DataSquad at Orange Jordan, specializing in the deployment of data and AI solutions across multiple countries.
    • Development of predictive models for churn detection and identification of upsell and cross-sell opportunities within Next Best Action / Next Best Offer strategies.
    • Design and automation of Machine Learning pipelines on Google Cloud Platform (GCP), covering data ingestion, feature engineering, model training, and prediction generation.
    • Optimization of model performance through hyperparameter tuning, variable selection, and advanced exploratory analyses.
    • Contribution to the deployment and industrialization of data use cases across several Orange MEA subsidiaries.
    Machine Learning Google Cloud Platform (GCP) Hyperparameter Tuning Python Data Pipeline

Reviews

5.0

Out of 1 rating

PlbP

Plb

Responsable marketing - PLB

Reviewed on 3/23/2026

Clémentine performed an exploratory analysis of our marketing and sales data with great rigor and professionalism. She quickly understood our needs, proposed a structured approach, and delivered clear and actionable results. Communication was smooth throughout the mission, with good responsiveness and efficient, pleasant interaction. I highly recommend Clémentine for her data skills and professionalism, and would not hesitate to work with her again on future projects.

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Education

  • Double Master's Degree
    ECE (Central School of Electronics) and ESCE (Higher School of Foreign Trade)
    2020
    Cursus en double diplôme sur 6 ans, comprenant : •2 ans à l’ECE (École centrale d'électronique) – master en ingénierie financière. •4 ans à l’ESCE(École Supérieure du Commerce Extérieur) – formation en management, commerce et stratégie internationale.
  • Exchange Program
    Universidad Andrés Bello
    2018
    Programme d'échange

Skill set

Categories