Hi, I'm Simon

I’m a Machine Learning Engineer passionate about solving complex problems at the intersection of ML (Machine Learning) and software development.

Since 2021, I have been working as a data science consultant in Paris, where I deploy machine learning models, build MLOps pipelines—automating the training, deployment, and monitoring of models—and tackle data challenges across various sectors. In 2024, I spent 18 months in the U.S. at Syensqo, focusing on mineral processing and reagent dosage optimization using data-driven approaches. My background in machine learning, computer systems and networks allows me to develop ML solutions all the way to full deployment.

Outside of work, I enjoy parkour, climbing with friends, and playing guitar. I also like working on personal projects—sometimes just for fun, other times to support a charity event. And when I’m looking to unwind, I love adding new places to my Polarsteps with my girlfriend.

Resume

Sumary

Simon Duval

Machine Learning Engineer with 4 years of experience accross various sectors and companies.

Education

Master of Science in Computer Science

Spec. Machine Learning

2020 - 2021

Georgia Institute of Technology, Atlanta, GA - USA

Computer Science Engineering School

2015 - 2020

Université de Technologie de Compiègne (UTC), Compiègne - France

Professional Experience

Data Science consultant for Air France

2025 - Present

MP data, Paris - France

Data Scientist/Digital Transformation specialist

2023 - 2025

Syensqo, Stamford, CT - USA

  • Development of reagent dosage optimization models for mineral processing.
  • Deployment and industrialization of a recommendation system for automated reagent dosage in a major mineral processing customer plant.
  • Driving change through the creation and adoption of data-driven solutions for customers and internal stakeholders.
Python Dataiku GCP

ML Engineer consultant for TF1

2022 - 2023

MP data, Paris - France

  • Worked on video recommendation machine learning models and their industrialisation.
  • MLOps Lead
    • Established MLOps best practices within the Data Science team to improve collaboration and model lifecycle management
    • Developed CI/CD pipelines for safe and efficient deployment of machine learning applications on Azure Kubernetes Service (AKS) and Databricks
Tensorflow PySpark Azure Stack MLFlow Terraform

DevOps engineer consultant for EDF Renouvelables

2021 - 2022

MP data, Paris - France

  • Design and deployment of an on-premises CI/CD infrastructure
  • Onboarding of developer teams with various needs on the different components of the platform
Gitlab Ansible SonarQube Nexus Repo manager Hashicorp Vault

IT & Data Architecture Intern

May 2020 - Oct 2020

Wavestone, Paris - France

  • Designed & developed a secured Over-The-Air update process for automotive with AWS
  • Developed a web scraping script to populate a directory
AWS Stack Python

Projects

Here are some of the projects I developed in my free time or at school. They are a fun way for me to learn new stuff while improving my coding skills.

Contact


Feel free to reach out directly on my Linkedin!