Claire BADOUEL

Claire BADOUEL

Research Engineer Intern

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location of Claire BADOUELParis, Île-de-France, France

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  • Timeline

  • About me

    Lead Data Scientist @ Illuin Technology

  • Education

    • Lycee pothier

      2012 - 2015
      CPGE MP physics and mathematics Mention Bien

      Note : The classes préparatoires aux grandes écoles (CPGE : Higher School Preparatory Classes), are part of the French post-secondary education system. They consist of two years of study (extendable to three or exceptionally four years) which act as an intensive preparatory course with the main goal of training students for enrolment in one of the grandes écoles. The workload is one of the highest in Europe (29 to 45 contact hours a week, with up to 10 hours of guided tutorials and oral exam… Show more Note : The classes préparatoires aux grandes écoles (CPGE : Higher School Preparatory Classes), are part of the French post-secondary education system. They consist of two years of study (extendable to three or exceptionally four years) which act as an intensive preparatory course with the main goal of training students for enrolment in one of the grandes écoles. The workload is one of the highest in Europe (29 to 45 contact hours a week, with up to 10 hours of guided tutorials and oral exam sessions). Show less

    • Université Paris-Saclay

      2016 - 2017
      Master 1 Applied mathematics
    • KEDGE Business School

      2020 - 2020
      Project management

      One-week project management training

    • Université Paris-Saclay

      2017 - 2018
      M2 - TRIED (Traitement de l'Information et Exploitation des Données) Data mining

      Master Paris Saclay multidisciplinary Master's degree in machine learning.* Courses:- Recognition of neural patterns and methods- Classification methods- Statistical methods for qualitative data- Bayesian networks - hidden Markov chainsPython, SAS, R

    • École Centrale de Lyon

      2018 - 2019
      First year of PhD Applied Mathematics
    • ENSIIE

      2015 - 2018
      Engineering degree Informatics and applied mathematics

      École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise : - Specialized in Computer Science - Mathematics - Business Sciences- Member of the Institut Mines-Télécom and Paris Saclay* Relevant Courses- Statistical modelling - Data analysis- Stochastic process and calculation (including Brownian motion)- Generalized linear modelPython (TensorFlow, Keras...), R, SAS, C, C, C++/Java (Notions), Matlab (Notions)* Complementary mathematics… Show more École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise : - Specialized in Computer Science - Mathematics - Business Sciences- Member of the Institut Mines-Télécom and Paris Saclay* Relevant Courses- Statistical modelling - Data analysis- Stochastic process and calculation (including Brownian motion)- Generalized linear modelPython (TensorFlow, Keras...), R, SAS, C, C, C++/Java (Notions), Matlab (Notions)* Complementary mathematics and computer science Courses- Operational research- Numeric simulation (including Monte Carlo)* Cross-curricular lessons- Agile method- Economics and management Show less

  • Experience

    • CNRS - Centre national de la recherche scientifique

      Jun 2017 - Aug 2017
      Research Engineer Intern

      - Regional and global rainfall data survey.- Quantification of the effects of spatial scaling and subsampling on satellite data.- Selection of a satellite sub-sample according to the reliability of their detection of the rainfall product in the Paris region.

    • École Polytechnique

      Mar 2018 - Sept 2018
      Research engineer in machine learning - Intern

      - Development of a mathematical description of the ocean convection phenomenon in accordance with the scientific consensus on this subject- Development of convection events classifier using unsupervised learning methods (CAH & SOM)

    • Renault-Nissan-Mitsubishi

      Nov 2018 - Dec 2019
      PhD Student

      CIFRE thesis: Development of a reduced model of the digital validation systems already in place, using machine learning methods.- Implementation of a statistical learning method based on cyclically connected neural networks - Application: Forecasting of the behaviour of a weld point under stress.- Implementation of recurrent neural networks (LSTM type) - Application: Model reduction of the driving simulator used for ADAS validationTools: Tensorflow (Python interface)

    • Sociéte Générale

      Dec 2019 - Feb 2024
      Data Scientist

      - I provide data science expertise to the inspection and internal audit project.- I am carrying out a research project.- I have built several trainings to participate in the Department's growing skills in data analysis.- I raise awareness among my colleagues of the value of data science in audit use cases.

    • ILLUIN Technology

      Feb 2024 - now
      Lead Data Scientist

      ILLUIN Technology provides advanced technological solutions for its customers, with a particular focus on Artificial Intelligence.OUR OFFERProducts :- ILLUIN Talk: create the most advanced omnichannel conversational agents and assistants - chatbots, callbots, voice parser, speech analyzer - on the market thanks to this cutting-edge technological suite (NLU engine, dialogue engine, real-time analysis of voice flows)- ILLUIN Doc: automate the analysis and processing of your documents with this state-of-the-art NLP suite (natural language search engine, document parsing)- Professional services:From POC to industrialization, mobilize our technological expertise - NLU/NLP, Computer Vision, Structured Data, Fullstack Dev, Mobile, Ops, etc. - to meet your most ambitious challenges!- Acculturation / Open Innovation:Workshops, keynotes, conferences, learning expeditions... make your business teams discover all the facets of AI and increase the skills of your technical teams!Innovative prototyping in partnership with CentraleSupélec: benefit from a team of 3-4 students coached by our experts to develop your MVP in 6-8 weeksKEY INFORMATION ABOUT THE COMPANYFounded in 2017 in the birthplace of CentraleSupélec and the University of Paris Saclay60+ makers in the team, mainly experts in data science and software engineering45+ clients in all sectors and industrial investors such as Randstad and Chronopost Show less

  • Licenses & Certifications

    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Coursera
      Dec 2022
      View certificate certificate
    • Convolutional Neural Networks in TensorFlow

      Coursera
      Jan 2023
      View certificate certificate
    • Natural Language Processing in TensorFlow

      Coursera
      Jan 2023
      View certificate certificate
    • Machine Learning Data Lifecycle in Production

      Coursera
      Dec 2022
      View certificate certificate
    • Spécialisation DeepLearning.AI TensorFlow Developer

      Coursera
      Jan 2023
      View certificate certificate