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Lyn BoussenguiLB

Lyn Boussengui

Senior Data Scientist | Python/R

€750/day
4 projects
Paris 8e Arrondissement, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Lyn

Experienced data scientist and ENSAE Paris graduate, I enjoy new challenges. With strong skills in machine learning and statistics as well as programming, I have developed a real passion for this field.
In addition to my professional activity, I enjoy traveling and researching various geopolitical topics.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

  • German

    Basic

Can work on-site
Paris 8e Arrondissement (up to 10km)

Experience

  • ALLIANZ TRADE
    Senior Data Scientist
    BANKING AND INSURANCE
    January 2023 - Today (3 years and 5 months)
    Courbevoie, France
    - Implementation of explainable (glassbox) and efficient ML models for credit risk assessment
    - Develop an industrial and process code for the implementation of a modeling platform
    - Collaborate with the data & infrastructure pipeline referents for an end-to-end pipeline
    - Communicate/explain to users the data science concepts used
    Machine learning Python (Programming Language) AWS Gitlab Docker
  • L'Oréal Centre de Recherche
    Senior Data Scientist
    FASHION AND COSMETICS
    May 2022 - January 2023 (8 months)
    St.-Ouen, France
    - Ensure the corrective/operational and evolutionary maintenance of the data science pipeline
    - Define the data acquisition and analysis strategy
    - Apply internal guidelines for the industrialization of algorithms
    - Collaborate with data & serving pipeline referents for an end-to-end pipeline.
    - Communicate/explain data science concepts used to Product Owners and users.
    Data science Python GitHub Big Query ai-and-advanced-analytics
  • EY
    Senior Data Scientist
    CONSULTING AND AUDITS
    November 2019 - April 2022 (2 years and 6 months)
    Courbevoie, France
    L'Oréal R&I
    -Efficient exploration of new formulation fields through experimental designs
    -Automation of raw data acquisition
    -Implementation of a data processing and modeling pipeline on GCP
    -Modeling of colorimetric indicators based on formula composition
    -Supervised learning: SVM, neural networks, Random Forest, Boosting, penalized regressions, etc.

    Nike US
    -MLOps: POC on the model catalog - research and testing with different models in production
    -Data Eng: Implementation of dynamic data on popular searches and prices.

    Other missions:
    -Implementation of a price elasticity estimation tool.
    -Feasibility study for a territorial mesh plan.
    -Addition of new web features with Django on an API.
    Machine learning Python Google cloud R Amazon Web Services

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Education

  • Engineer's Degree, Mathematics and Statistics
    ENSAE Paris
    2019
    Statistics Machine learning Deep learning (CNN, RNN, NLP, Computer vision, etc.) Econometrics Mathematics : Algebra, Probability theory, Topology, Optimization Distributed data processing Programming
  • Master's Degree Econometrics and Quantitative Economics
    Université d'Angers
    2015
    Econometrics (time series, panel data, cross-sections) Factor analysis (PCA, MCA, CAH, etc.) Macroeconometrics Financial risk analysis Survey techniques.

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