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Liticia TouzariLT

Liticia Touzari

Data scientist R&D

250 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Liticia

My name is Liticia Touzari. I am an Artificial Intelligence Engineer. I like solving machine learning/deep learning challenges and building AI models.
After a master’s in data science at Sorbonne University which allowed me to pursue a multidisciplinary training in mathematics and computer science, I started working as an AI engineer at Powder.
Throughout my two years at Powder, I was able to work on different projects ranging from research to production. These include video classification, toxic comments detection, image classification for video highlighting, optical character recognition, etc.
Working in an agile environment, I learned to adapt quickly to new technologies and programming languages, deliver quality python code, test, review and deploy models on cloud.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Powder
    Junior AI Engineer
    JEUX VIDÉO & ANIMATION
    septembre 2021 - avril 2023 (1 an et 8 mois)
    Paris, France
  • Powder
    Data Science Intern
    mars 2021 - août 2021 (5 mois)
    Paris, France
    NLP for toxic comments classification in the context of video games
    •Comparative analysis of existing word embedding methods and different deep learning approaches (CNN, LSTM, transformers (BERT and DistilBERT) )
    •Built a text classification model for toxic comments in video game applications with a performance equal to that of the paid service currently used at Powder.
    •Deployed a first version of the API on AWS.
  • CNAM
    Research Intern
    juin 2020 - septembre 2020 (3 mois)
    Paris, France
    Clustering pour infrastructures sans fil :
    -Mise en œuvre d'une nouvelle méthode de clustering pour regrouper les ressources et infrastructures radio dans le but d'améliorer l'efficacité́ des services.
    -Publication d'un article scientifique dans le journal Elsevier Computer Communications: https://doi.org/10.1016/j.comcom.2021.06.021
    -Programmation (Python), Apprentissage non-supervisé (k-means, hiérarchique).
    -Travail en binôme.

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Formations

  • Master's degree, Data Science, Big Data and Machine Learning
    Sorbonne université
    2021
    Master's degree, Data Science, Big Data and Machine Learning
  • Ingineer's degree, Computer Science
    Ecole nationale Superieure d'Informatique (ESI)
    2018
    Ingineer's degree, Computer Science

Compétences (16)

Catégories