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Damien GerardDG

Damien Gerard

Data Scientist

€750/day
Liège, BE
8-15 years
Data science
Machine learning
Optimisation
Python
Communication

Average response time: 1 hour

Freelancer profile translated to English.
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About Damien

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Liège (up to 50km)

Experience

  • DamGerard Solutions
    Data Scientist Freelance
    October 2025 - Today (8 months)
    Projects:
    - AI for Gwent The Witcher Card Game, a strategic trading card game, with deep learning.

    Technologies, tools, methodologies:
    - Python;
    - PyTorch;
    - Julia;
    - PostgreSQL;
    - SQL;
    - Git versioning.
  • Abakus IT-Solutions,
    Data Scientist
    May 2024 - October 2025 (1 year and 5 months)
    Data Scientist at Abakus IT-Solutions, contracted to DG TAXUD at European Commission.

    Data science solutions development for the Safety and Security Analytics (SSA) platform, for Customs Risk Management support.

    Roles and responsibilities:
    - develop analytic and machine learning solutions for SSA, with deployment to production;
    - gain expertise in the database data schema;
    - improve the data schema of the data warehouse;
    - provide regular presentations and trainings to the Member States, about database design, the Customs data
    model and how to query data;
    - generation of synthetic data matching the Customs data schema, with some generative AI.

    Technologies, tools, methodologies:
    - Python (NumPy, Pandas, matplotlib, many other libraries);
    - R;
    - SQL;
    - Dataiku with all official certifications;
    - JupyterLab, RStudio, Visual Studio Code;
    - Docker and Docker Compose;
    - JIRA, Confluence;
    - Git versioning;
    - testing;
    - communication to business and technical audiences.
  • ALX Systems
    Data Scientist
    November 2020 - August 2022 (1 year and 9 months)
    Tailor-made autonomous drones to carry out various computer vision tasks, such as object detection for multiple applications and real-time navigation in a cluttered environment.

    Roles and responsibilities:
    - machine learning: image classification, object detection, depth estimation, anomaly detection;
    - custom deep convolutional neural networks (CNN), transformers and attention networks for improved object detection accuracy in images and several other computer vision tasks;
    - continuous integration and continuous delivery (CI/CD) with Jenkins;
    - model deployment to production, real-time processing and monitoring;
    - computer vision with several types of cameras and sensors;
    - dataset labelling and cleaning;
    - generation of synthetic data in Unreal Engine.

    Technologies, tools, methodologies:
    - Python (NumPy, Pandas, many other libraries);
    - PyTorch, TensorFlow and Keras;
    - Julia;
    - C++;
    - Unreal Engine;
    - Git versioning;
    - Jenkins;
    - Scrum and Agile.
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Education

  • PhD in Applied Mathematics
    University of Liège
    Thesis: (n − k)-convex optimization. - Found a sufficient condition for nonconvex nonlinear functions’ local optima to feature strong relationships on their location: the (n − 1)-convexity. - Extensive study of these functions through numerous mathematical proofs. - New convexifications for (n − k)-convex and biconvex problems, vastly tighter than state-of-the-art convexifications, for improved solving time. - New algorithms for general nonconvex problems by exploiting the relationships between optima. Technologies and tools: Julia, Python, C++, Perl, Git, Linux, various data visualization tools.
  • Master Software Engineer
    University of Liège
    2011
    Thesis: Implementation of a trust region method for industrial diagnostics. Predictive optimization for a galvanization process from historical high-dimensional data, for an automotive company. Software development in C++. Melchior Salier award for the best thesis in Software Engineering. Technologies and tools: C++, SQL, Cassandra NoSQL, Git, Linux, various data visualization tools.

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