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Younes El HoussainiYE

Younes El Houssaini

Developeur python, data scientist, data engineer

700 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Younes

Professional, Operational, Team Spirited.

Summary:

Cross trained data scientist, data engineer and software engineer with strong
background in varied fields of engineering such as R&D, mechanics, energy,
electronics etc. Having both autonomous and team spirited assets within cross-
functional teams. And adopting agile practices including pipelines automation for
testing, building and deployment in addition to data visualization and big data
analytic.

Key skills:

Programming: Python, C/C++, java, Fortran, Shell, SQL, LookML, OpenMP,
OpenCL, Cuda, Matlab, Scilab, VB.NET, Modelica, PyQt5, IDE: VS Code
Software: ABAQUS, Freefem, GMSH, OpenModelica, GenOpt, Dymola, Aspen+
Database: Oracle, MySQL, Postgresql, MongoDB. Dataviz: Matplotlib, Seaborn
Data engineering: Hadoop, MapReduce, Spark, Kafka
Data analytics: Looker, Tableau, Power BI, Datawarehouse ETL: BigQuery
Machine Learning: PyTorch, TensorFlow, Keras, Scikit-Learn, NumPy, Pandas,
Matplotlib, SciPy, CV2, Hugging Face, Google Colab, Jupyter, NLP: NLTK, Spacy
DevOps: Docker, Kubernetes, GitHub, GitLab, Jenkins, Azure DevOps, Jira
Cloud: Google Cloud Platform (GCP), OS: Windows, Linux/Unix, MacOS
Back-end: Flask,Django, Front-end: HTML, JavaScript, CSS
Scope: Big data, Artificial Intelligence, Machine Learning, neural networks (CNN,
RNN, DNN), Computer Vision, Natural Language Processing, Automation, Agile
Software Development, Scrum, Cloud Computing, ETL, CI/CD, DevOps, APIs,
Constrained Optimization, Statistics and data analytic, Electrical and energy
Engineering, Embedded Systems, Smart Grid, High performance computing.
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Allemand

    Capacité professionnelle limitée

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Inria
    Software engineer
    CENTRES DE RECHERCHE
    décembre 2020 - Aujourd'hui (5 ans et 6 mois)
    Lille, France
    My role is to implement research literature to solve bi-level problems in, but not only, energy and transport fields. It covered mainly the following bullet points:
    • Development, deployment and maintaining a web application to solve
    bi-level optimization problems.
    • Development of a bi-level optimization formulation library covering
    linear and bi-linear problems for energy and transport application.
    • Orchestration and development of mixed integer optimization solvers.
    Python (langage de programmation) Python (langage de programmation) Pytest Adobe Flash DevOps
  • Fraunhofer IWM
    Data engineer, Data scientist, ML engineer, R&D engineer
    janvier 2018 - janvier 2021 (3 ans)
    Freiburg im Breisgau, Germany
    • Development of desktop/web applications for data visualization, data processing
    • Modeling processes on Abaqus/CAE and building FEA based model with reduced computing time for parametric study
    • Parameter identification: Multi-parameter optimization workflow based on Abaqus or/and model order reduction
    • Developing deep learning models (CNN, MLP, RNN) to solve the inverse problems
    • Development of an automatic tool of defect detection based on ultrasonic testing images
    • Pipelines creation and data processing in addition to code optimization, refactoring and unit testing

    Stack: Python, C++, Fortran, SQL, Django, HTML, CSS, Apache, Jenkins, Docker, MPI, PyQt5
  • CEA
    Data scientist, ML engineer
    janvier 2016 - janvier 2016
    Grenoble, France
    • Dynamic optimization of load shedding in district heating: modeling and simulation of a virtual district heating

    Stack: Python, Modelica, Scilab, Dymola, Genopt

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Formations

  • Engineering studies
    National School of Mineral Industry
    Engineering studies
  • Master of Science
    University of Strasbourg, UFR Mathematics & Information
    Master of Scientific Computing and Mathematics for Information (CSMI)

Compétences (24)

Catégories