Lucie Cadorel

PhD student (CIFRE) at I3S/CNRS
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Nice Metropolitan Area, FR
Languages
  • Français Native or bilingual proficiency
  • Anglais Professional working proficiency
  • Espagnol Limited working proficiency
  • Russe Elementary proficiency

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Bio

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Credentials

  • Introduction to TensorFlow
    Coursera
    Oct, 2020
    - Nov, 2024
  • Web sémantique et Web de données
    Inria
    Jun, 2020
    - Nov, 2024

Experience

  • I3S/CNRS
    • France
    • Research
    • 1 - 100 Employee
    • PhD student (CIFRE)
      • Oct 2020 - Present

  • SEPTEO PROPTECH
    • France
    • Real Estate
    • 1 - 100 Employee
    • AI Research Engineer
      • Oct 2020 - Oct 2023

  • Inria
    • France
    • Research Services
    • 700 & Above Employee
    • Research Engineer
      • May 2020 - Oct 2020

      Project Covid-On-The-Web (part of Wimmics team): - Explored RDF data of COVID19 Scientific Literature - Found Interesting Association Rules (FP-Growth algortihms) - Developed a new method combining Clustering (HCA), Community Detection (WalkTrap) and Dimensionality reduction (Autoencoders) to improve the interestingness of the rules - Shared my results by writing a scientific paper (accepted to WI-IAT 2020, acceptance rate : 25%) Technologies : Python, SPARQL Project Covid-On-The-Web (part of Wimmics team): - Explored RDF data of COVID19 Scientific Literature - Found Interesting Association Rules (FP-Growth algortihms) - Developed a new method combining Clustering (HCA), Community Detection (WalkTrap) and Dimensionality reduction (Autoencoders) to improve the interestingness of the rules - Shared my results by writing a scientific paper (accepted to WI-IAT 2020, acceptance rate : 25%) Technologies : Python, SPARQL

  • Orange
    • France
    • Telecommunications
    • 700 & Above Employee
    • Data Scientist Intern
      • Apr 2019 - Sep 2019

      - Developed a recommender system for the Orange TV using Collaborative Filtering : prepared data (feedbacks, interaction matrix), tested different algorithms (KNN, ALS, SVD, LIghtFM) on a sample - Deployed on the production cluster - Shared my results with teams working on the current recommender system - Participated to the Agile ceremonies with my team Technologies : Spark, Python, Gitlab (CI/CD), R - Developed a recommender system for the Orange TV using Collaborative Filtering : prepared data (feedbacks, interaction matrix), tested different algorithms (KNN, ALS, SVD, LIghtFM) on a sample - Deployed on the production cluster - Shared my results with teams working on the current recommender system - Participated to the Agile ceremonies with my team Technologies : Spark, Python, Gitlab (CI/CD), R

  • AVISIA
    • France
    • Business Consulting and Services
    • 100 - 200 Employee
    • Data scientist Intern
      • Jul 2018 - Aug 2018

      - Developed a predictive model for Aramis Auto : prepared and analyzed data, benchmarked different models (XGBoost, Random Forest, Logistic Regression) and optimized hyperparameters (GridSearch, RandomSearch) - Interpreted complex models with innovatives methods (Local Interpretable Model-Agnostic Explanations, Shapley Value, Partial dependence plot) in order to show the reliability of the models - Popularized and shared my results with Non-Data Scientists Technologies : Python, R Show less

Education

  • Université Côte d'Azur
    Doctorat, Intelligence artificielle
    2020 - 2023
  • Ecole nationale de la Statistique et de l'Analyse de l'Information
    Master's-level engineering degree equivalent to a Master of Science (MSc) in Data Science
    2016 - 2019
  • NOVA IMS Information management school
    Erasmus semester
    2018 - 2018
  • CPGE Lycée Pothier
    MPSI-MP*
    2013 - 2016

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