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Max Lalleman

Max Lalleman

💼 Professional experience

Agilytic

Data Scientist

Since 2026

Chatbot implementation for client-tuned sustainability advice

  • Implemented a chatbot for an ESG advice company which united intelligent web search with their internal database to provide users with a personalised and relevant solution for their ESG problems.

Cleaning and optimisation of a knowledge database

  • updating, improving, and cleaning a project knowledge database.
    • Set up interviews with stakeholders
    • Understood their needs
    • Implemented tailored-made solutions
    • Built views of the database
    • Added or removed certain properties of the database when required
  • Implemented agents to help clean and maintain the quality of that database.
    • Automatically scan the database for certain invalid or empty knowledge field properties
    • Provide notifications to the relevant people to improve and fill in the database
    • Scientific Researcher (University of Antwerp)

      Doctorate in Physics: data analysis of gravitational waves 2021-2025

    • Development of a Python-based data analysis framework exploiting cross-correlation which combined statistical methods using both a frequentist and Bayesian approach for parameter estimation
      • Python (scipy, numpy, pandas, matplotlib)
    • The parallelization of this analysis framework on a high-throughput computing cluster
      • HTCondor (DAG files, somewhat similar to Apache Spark) via Python
    • Inventing and development of new Bayesian statistical data analysis method combining multiple different gravitational-wave data sources to infer whether the mass distribution of these sources is constant or not. This process was optimized using GPU’s on a computing cluster.
      • Python (numpy, scipy, jax, pandas, numpyro, matplotlib)
    • Monitoring and mitigating noise features in a gravitational-wave detector via a database of such features. The unknown noise features were searched for using a coherence method in the surrounding environmental channels.
      • Python (scipy, numpy)
    • Participated in multiple science-communication events to explain my research to people who have little to no understanding of it.
      • PRESS>SPEAK
      • Einstein Telescope @ Nerdland
      • Dag van de Wetenschap in Antwerp

🦾 Certifications, trainings

Methodologies

  • Data & statistical analysis
  • Machine learning & deep learning
  • Generative AI
  • Cloud computing

Software & programming

  • Python, MATLAB
  • SQL
  • bash
  • Docker
  • Mathematica
  • git
  • Power BI

Certifications

  • Microsoft Certified: Azure Fundamentals
  • Microsoft Certified: Fabric Data Engineer Associate (DP-700)

🎓 Academic credentials

  • Doctorate in Science: Physics
  • Universiteit Antwerpen, 2025

  • MSc in Physics and Astronomy, major in Research. Vrije Universiteit Brussel, 2021

🇺🇳 Languages

🇳🇱 Dutch: native

🇬🇧 English: fluent

🇫🇷 French: good

🔐 Proprietary and confidential.

💡 Profile CVs are provided for illustration purposes.

✅ Planning of specific experts will be secured upon formal agreement.