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📍 Copenhagen, Denmark  |  Open to Data Engineering & ML Engineering roles

class Maxime(DataScientist, DataEngineer):
    """
    Developer bridging the gap between models and production,
    architecting scalable data & ML pipelines.
    """
    def __init__(self):
        self.role    = "Senior Data / ML Engineer"
        self.base    = "Copenhagen, Denmark"
        self.exp     = 5  # years of experience

    def mission(self) -> str:
        return "From messy data to reliable predictions, at scale."

languages  

cloud_infra 

data_eng  

ml_stack  

monitoring 

project_mgmt 

Data Engineer — Massive Entertainment (Ubisoft Studio) | Malmö, Sweden | Mar 2024 – Present

• Technical reference for ML and analytics pipelines; define coding standards and conduct code reviews.
• Led the migration from a legacy data platform to Azure Databricks, improving scalability and compute efficiency.
• Designed real-time monitoring pipelines with Grafana for live game analytics.
• Built and maintained a core internal Python library shared across the data team.

Data Scientist / ML Engineer — Follo | Dongen, Netherlands | Jan 2023 – Feb 2024

• Built Python back-end services powering internal analytics tooling used daily by the marketing team.
• Designed end-to-end Data Warehouse architectures on GCP (BigQuery + GCS) for external clients.
• Delivered NLP products for customer review sentiment analysis and automated text generation.
• Built ETL pipelines with Airflow and Pandas for multi-source data collection and preprocessing.

Data Scientist — Anteriad | Madrid, Spain | Apr 2022 – Dec 2022

• Built a global CRM data pipeline (Python + SQL) to collect, validate, and clean data at scale.
• Deployed propensity models reducing outbound call volume by 25% through precise targeting.
• Fine-tuned a Transformer model for postal address country classification — 83% accuracy across 21 countries.
• Developed a speech-to-text analysis tool to extract insights from customer service calls using NLP.

Junior Data Scientist — BECQUET | Armentières, France | Sep 2020 – Mar 2022

• Built SQL Server dashboards for sales performance and customer analytics reporting.
• Developed a customer segmentation & scoring model, reducing marketing costs by 10%.
• Identified a new target market segment through exploratory data analysis and visualization.
• Delivered ad-hoc analysis and reporting to support marketing strategy and decision-making.

• Executive Masters in Deep Learning — MIOTI (2022)
• Masters in Data Science — OpenClassrooms (2020–2022)
• BSc in General Engineering — HEI (2016–2019)

• 🇩🇰 Danish: B1 (actively learning)
• 🇬🇧 English: Fluent
• 🇫🇷 French: Fluent
• 🇪🇸 Spanish: Fluent