Youssef L.

Youssef L.

Industrial Engineering Intern

Followers of Youssef L.5000 followers
location of Youssef L.Paris, Île-de-France, France

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  • Timeline

  • About me

    Data Scientist |Quant

  • Education

    • Lycée Ibn Taymia

      2015 - 2018
      Preparatory classes Maths ,Physics ,Engineering Sciences..

      2 year intensive undergraduate program preparing the competitive entrance examinations to Frensh and Moroccan best Engineering schools" Grandes Ecoles."

    • École des Ponts ParisTech

      2021 - 2022
      Msc in Mathematics applied to Finance and Data (Ex DEA Lamberton)
    • École des Mines de Saint-Étienne

      2018 - 2021
      Master of Science and Executive Engineering Major in Data Science and Computer Science.

      First Year:Majoring in Datascience and Artificial Intelligence.Relevant Coursework: ✔ Advanced Probabilities and Statistics. ✔ Statistical and Machine Learning ✔ Times Series ✔ Metamodeling,Sensitivity Analysis and Experimental Design.Second Year: Majoring in Computer ScienceRelevant Coursework:✔Bash Scripting✔Mobile and Web Developement✔Cloud Computing✔Internet of things✔Security,Trust and Privacy

  • Experience

    • OCP SA

      Jul 2018 - Aug 2018
      Industrial Engineering Intern

      Discovering the operation of a factory : its structure, relationship between workers, work time and how this impact the company’s performance.• chemical study of the wasted phosphore.• Determination of the optimum quantity and flow to adjust by the supervisionstation.

    • MINES ParisTech

      Jun 2020 - Sept 2020
      Research Assistant

      The main idea of ​​this internship is to become familiar with the elements of speculationmarket also called "trading" and understand the quantitative issues. Moreprecisely, it is about studying some classical algorithms of trading, implementing them andthen to analyze the behavior on available datasets (real data orartificial). The algorithms considered will be those based on the use of time series(trend, seasonality, …). We will also study the creation of predictive models byalgorithms based on Machine learning methods (linear regression for example) and“Deep learning” approaches.We could thus, through the bias of simulations, highlight the key elements of theproblematic of trading and provide some ideas for improving the efficiency ofexisting approaches. Show less

    • Hexcel Corporation

      Oct 2020 - Mar 2021
      Data Scientist(Part time)

      -Clustering similar groups and predicting permeability based on different material properties (delta1 ,delta2, MIFS,Nb Fib ,TVF....)using Gaussian processes, Bagging methods and boosting methods .-Assesing features importance in that prediction(PDP box)-Evaluating and tuning the models (Rmse ,Rsquared,Gridsearch ,Random search ,Stratified Kfolds..)-making a taxonomy of generative models used in materials literature (Random placement ,Motion Dynamics ,Monte Carlo etc. )and in Machine learning literature (PixelRNN/CNN, VAEs ,GANs,Boltzmann machines...)-Generating carbone microstructure using DCGAN (Deep convolutional GAN) and VAEs (variational auto encoders). Show less

    • Goldman Sachs

      Mar 2021 - Mar 2021
      Engineering (Virtual experience)

      Virtual internship to get a sense of what is to be an engineer at Goldman Sachs.

    • JPMorgan Chase & Co.

      Mar 2021 - Mar 2021
      Software Engineer (Virtual Experience)

      Virtual Experience to get a sense of what is day to day life of a software engineer at JP Morgan.

    • TotalEnergies

      Apr 2021 - Oct 2021
      Data Scientist

      - Effectuer un benchmark des algorithmes d'active Learning sur des données existantes - Implémenter les algorithmes retenus dans une librairie python et les intégrer dans un workflow permettant d'alimenter la plateforme robotisée (Optimisation bayésienne) - Développer une stratégie permettant d'intégrer des connaissances métier et données physico-chimiques - Mettre à disposition les outils développés via une interface simple (Dash+ plotly).

    • Natixis

      Apr 2022 - Oct 2022
      XVA Quant
    • HSBC

      Jan 2023 - now
      Equity Derivatives Quant
  • Licenses & Certifications

    • Introduction to Machine leraning ,Trading and GCP

      Google Cloud Platform Certified
      Jul 2020
      View certificate certificate
    • Reinforcement Learning for Trading Strategies

      Google Cloud Platform Certified
      Jul 2020
      View certificate certificate
    • Using Machine Learning in Trading and Finance

      Google Cloud Platform Certified
      Jul 2020
      View certificate certificate
    • IBM Data visualization with Python

      IBM
      Jun 2021
      View certificate certificate
    • Spécialisation Machine Learning for Trading

      New York Institute of Finance
      Jul 2020
      View certificate certificate
    • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

      Coursera
      Apr 2020
      View certificate certificate
    • Neural Networks and deep learning

      Coursera
      Apr 2020
      View certificate certificate
    • Structuring Machine Learning Projects

      Coursera
      Apr 2020
      View certificate certificate
    • TOEFL IBT (92)

      ETS
      Sept 2018
    • TOEIC (950)

      ETS
      Jan 2020
  • Honors & Awards

    • Awarded to Youssef L.
      IBM Badge IBM Jun 2021 Data visualization with Python
    • Awarded to Youssef L.
      BCG Badge BCG Mar 2021 Badge on the completion of the Data science and advanced analytics virtual internship.
  • Volunteer Experience

    • Fundraising Volunteer and Donator

      Issued by Amnesty International on Sept 2020
      Amnesty InternationalAssociated with Youssef L.
    • Organizational Staff

      Issued by COP22 on Nov 2016
      COP22Associated with Youssef L.
    • Co-organizer of 'Explore Mars' Conference

      Issued by La Rotonde - Centre de Sciences on Feb 2021
      La Rotonde - Centre de SciencesAssociated with Youssef L.