Oussama - Data Scientist BIG DATA

Ref : 211011B003
Email vérifié
Photo d'Oussama, Data Scientist BIG DATA
Compétences
LINUX
DEVOPS
BIG DATA
DATA
MYSQL
Expériences professionnelles

  • WORK EXPERIENCE

    TotalEnergies, Nano-INNOV – R&D Data Engineer
    Mar-2021 present
    - Build and operationalize data processing systems
    - Create and manage a cloud infrastructure for geospatial data
    - Build econometrics and ml modules
    - Build a data ingestion pipeline
    Engie, Paris, ******** - Common Data Hub Data Engineer

    Dec-2020 Mar-2021
    Common Data Hub is the collaborative datalake of the engie group
    which allows different entities to store, share their data and create value
    via transformation, dashboarding and machine learning tools.
    Team of 9 developers, 150TB of stored data, 1200 Users, 40 Countries.
    Davidson, Paris— Intern Lead Data Scientist/Engineer

    Mar-2020 Nov-2020
    - Help facilitate software quality measures - TDD, Peer Review,
    continuous integration and unit test
    - Development of data analytics models, e.g. predictive models for
    industrial assets, based on cutting-edge machine learning and
    artificial intelligence techniques
    - Building data pipelines for production systems at large scale
    - Contributed meaningful improvements to existing machine learning
    model through carefully directed research
    - Productize and automate machine learning, model tuning and
    deployment

    Canon France, Paris— Cloud Data Engineer
    Jan-2020 Feb-2020
    Training and deploying an ML model as microservice on GCP for digital
    transformation of business processes:
    - Detect and extract text from structured and unstructured data.
    - Document classification (Cloud AutoML)
    - Knowledge extraction from structured sources.
    Air Liquide Healthcare, Paris— Data Engineer
    Mar-2019 Dec-2019
    - Collecting data from iot devices
    - REST API design, development and management
    - Managing MongoDB database
    Davidson, Paris— Data Scientist
    Context: Virtual assistant
    Apr-2018 Feb-2019
    - Build Deep Learning generative model (Seq2Seq)
    - Install and configure a MongoDB server
    - Use recurrent neural networks for named entity recognition and POS
    - Apply post-processing to generated answers by consuming external APIs

Études et formations

  • CERTIFICATIONS

    Professional Data Engineer (Google Cloud Platform):
    - Design data processing systems
    - Build and operationalize data processing systems
    - Operationalize machine learning models
    - Ensure solution quality

    Associate Cloud Engineer (Google Cloud Platform):
    - Set up a cloud solution environment
    - Plan and configure a cloud solution
    - Deploy and implement a cloud solution
    - Ensure successful operation of a cloud solution
    - Configure access and security

    TensorFlow Developer Certificate (Google):
    - Building image recognition, object detection, text recognition algorithms with
    deep neural networks and convolutional neural networks
    - Using real-world images in different shapes and sizes to visualize the journey
    of an image through convolutions to understand how a computer “sees”
    information, plot loss and accuracy
    - Exploring strategies to prevent overfitting, including augmentation and
    dropouts
    - Applying neural networks to solve natural language processing problems
    using TensorFlow

    HONOURS & AWARDS
    - Laureate Award (highest score in Class), Higher Institute of Management of
    Tunis, Academic year 2016-2017.
    - Laureate Award (highest score in Class), Faculty of economics and
    management of Nabeul, Academic year 2014-2015.
    - Laureate Award (highest score in Class), Faculty of economics and
    management of Nabeul, Academic year 2013-2014.
    - Finalist in the Generation Machine Learning Competition organized by
    HSBC, Société générale, et Sia Partners 2018

    EDUCATION
    Master 2 Informatics and Intelligent Systems (ISI) with a
    specialization in Data Science
    Université Paris Dauphine Sep-2017 Mar-2018
    • Deep Learning/ Reinforcement Learning
    • Supervised/unsupervised learning/ multi agent system
    • Algorithms, Systems and Paradigms for BigData
    Master of Science in Modeling with a specialization in forecasting
    Higher Institute of Management of Tunis Sep-2015 Jul-2017
    • Decision Making Techniques and Tools
    • Simulation/ Optimization/ Time series analysis
    • Data-Mining & Statistical Machine Learning

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