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Malt Strategy
Mathias LabordeML

Mathias Laborde

Data Scientist Senior | Forecasting & Gen AI

€650/day
Paris, FR
3-7 years
Google cloud
Python
Spark
SQL
Time Series

Average response time: 1 hour

About Mathias

Senior Data Scientist - Gen AI & Forecasting


With 6 years of experience as a Data Scientist, I’ve had the privilege to work on a wide range of impactful projects, including:

GEN AI: Developped a chatbot based on a RAG to assist the customer service department of an automotive company.
Also added a chatbot to a recommander system I created in League of Legends, the goal was to allow user to customize his recommandations based on natural langage queries.


Time Series Forecasting: Predicting future trends to optimize decision-making.


Fraud and Money Laundering Detection: Implementing robust systems to detect anomalous activities and uncover fraud networks.


Recommender Systems: Creating advanced models using images and texts (LLM based) for personalized user experiences.


Computer Vision: Developing solutions for elements recognition in videos and analysis.


Esports Talent Scouting: Designing innovative systems to identify and recruit new talent in the esports industry.

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What I bring to your organization:
  • Expertise in solving complex data challenges.
  • A results-driven approach to ensure business impact.
  • The ability to turn raw data into clear, actionable strategies.

Stack : Python, Spark, SQL, Django, Dataiku, Google Cloud Plateform, Git, SKLearn, Pytorch, Pandas, fastAPI, Cloud run, bigquery, Docker, Git, Airflow, PowerBI

Languages : French (native), English (fluent)

If you're looking for someone who can leverage your data to drive growth and innovation, I’d be delighted to collaborate with you !


Luxury Goods
Gaming and Animation
Public Sector
Social Networks

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lyon (up to 10km), Bordeaux (up to 10km), Toulouse (up to 10km)

Experience

  • Esport company
    Data Scientist - Gen AI
    February 2025 - Today (1 year and 4 months)
    Intelligent Champion Draft System (Recommander + Chatbot)

    Designed a recommander system using statistical and similarity search methods to recommend optimal picks.

    Integrated LLM layer to allow natural queries. Deployed system via Django + Fast API, Docker & Cloud Run. usable by coaches during prepations phases
    LLM Chatbot Django Google Cloud Platform (GCP) GenAI
  • Avisia
    Data Scientist
    CONSULTING AND AUDITS
    August 2023 - Today (2 years and 10 months)
    Paris, France
    Data scientist in Luxury retail :

    • Sales forecasting on shoes :
    - Developed and deployed in production multiples models of sales forecasting
    for new shoe collections

    • Seasonal Coefficients Calculation Project for Products :
    - Clustered products based on their sales time series, followed by the
    calculation of weekly sales weights for every cluster
    - Developed a multi modal (using text and images) classification system to
    assign new

    • Product Recommendation Project :
    - based on visual similarity between different products.
    Finetuned an embedding model to provide more accurate recommendations
    and adapted to LV.
    - Implemented a multimodal approach by incorporating both
    visual and textual data (LLM Based) to enhance the precision of the recommendations

    Deployed those 3 projects in production on dataiku / GCP, in
    collaboration with the data engineer team

    • Internal project - Chatbot :
    Developed a chatbot based on a RAG to assist the customer service
    department of an automotive company.
    RAG LLM Forecasting Recommender Systems
  • Solary
    Data Scientist
    VIDEO GAMES AND ANIMATION
    October 2022 - October 2023 (1 year)
    Tours, France
    Hidden Account detection system
    - Built a detection system to identify hidden training accounts via clustering, behavioral pattern analysis and anomaly detection.

    Esport Analytic Dashboard - Fullstack Web Platform
    - Developed a fullstack web dashboard for esports teams (Django Bigquery + dynamic data pipelines) aggregating scouting reports, hidden account detection, match stats and insightsfrom all custom tools.
    Used daily by coaching staff for decision making, strategy decisions and performance follow up
    python Django Machine learning Deep Learning Gitlab CI/CD
Check out Mathias's experience

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Education

  • Licence, Mathématiques
    Université Savoie Mont Blanc
    2020
    Licence, Mathématiques
  • Master 2 (M2), Modélisation mathématique et analyse appliquée
    Université Savoie Mont Blanc
    2020
    Master 2 (M2), Modélisation mathématique et analyse appliquée

Skill set

Machine learning
Deep Learning
Django
PowerBI
Git
Scripting Automation
Pytorch
Chatbot
LLM
Recommender Systems
multimodal
python
Data visualisation
MySQL
Gitlab CI/CD
Computer Vision
Clustering
Reporting
Google Cloud Platform (GCP)
YOLO
RAG
Forecasting
GenAI

Categories