About Me

Data Scientist | Machine Learning Engineer

Who I Am

From the energy sector's precision to the dynamic world of gaming, my journey has been anything but ordinary. Here's a glimpse into the path that has shaped me:

  • Began career in IoT and the energy sector, leveraging data for innovation.
  • Transitioned to the gaming industry, driven by opportunity and a passion for video games.
  • Living abroad since 2016, enriching my professional and personal perspective.
  • Focused on deploying machine learning in production, enhancing user experiences.
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Professional Experience

Current Role

Senior Data Scientist / Machine Learning Engineer Ubisoft May 2021 - Present

As part of the Ubisoft Data Office, Production domain in the Canadian Analytic Team (🐱‍🚀), my role is to:

  • Support Canadian game productions in their data and machine learning exploration and usage
  • Coordinate with DS/MLE/analysts to streamline processes internally

🏆 Accomplishments:

  • Led migration of multiple data and ML systems from in-house platforms to Databricks
  • Developed and operated the recommender system for the Rainbow Six Siege marketplace
  • Implemented a simulation system for in-game balancing in NFL Prime Fantasy
  • Supported in-game content recommender systems for Rainbow Six Siege, Assassin’s Creed games, and Immortals Fenyx Rising
  • Contributed to progression and monetization analysis for Canadian game productions (Rainbow Six Siege, Assassin’s Creed, NFL Prime Fantasy)

Previous Roles

Data Scientist / Machine Learning Engineer Ubisoft July 2018 - May 2021

As part of the Data and analytics (DNA) division, my role was to:

  • Help with the design of the internal Machine Learning platform
  • Deploy and operate machine learning projects (ETL, machine learning pipeline, R&D and A/B testing campaigns)
  • Promote the platform and applications internally (Presented at an event with 100+ Ubisoft developers)

🏆 Accomplishments:

  • Developed in-game content recommender systems for Assassin’s Creed Odyssey and Immortals Fenyx Rising
  • Deployed new in-game content recommender system in Rainbow Six Siege (Improved significantly in-game engagement & revenue)
  • Benchmarked ML tools for integration into the platform
  • Supported internal DS/MLE to onboard and operate their ML applications on the ML platform
Data Scientist EDF Energy July 2016 - July 2018

As part of the Digital Innovation division, my role was to:

  • Provided data support to teams for exploration
  • Organized and participated in internal hackathons

🏆 Accomplishments:

  • Managed the data from 5000+ connected devices on AWS (data pipeline and storage)
  • Analyzed multiple datasets from different sources (devices, live chat, customer) with statistical, supervised and unsupervised approaches
  • Deployed APIs to access data and use models for applications (web application, chatbot)
  • Attended different hackathons (VR, data, blockchain, Alexa skills)

Beyond Work

When I’m not training models or analyzing data, you’ll find me:

  • 👨‍🍳 Cooking/Baking: Beyond doing meal prep for adults and baby, I have a history of baking and enjoy that (but not doing the dishes)
  • 📚 Reading/Watching: You can find my recent discoveries on my letterboxd and goodreads profiles
  • 🎮 Gaming: As a young dad, my gaming time is limited but I still try to keep up with indie games and enjoy exploring new mechanics (my last discoveries are SULFUR and Avowed)

Let’s Connect

I’m always interested in collaborating on innovative projects and mentoring aspiring data scientists.

Get in touch: