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Thomas J.TJ

Thomas J.

Data Scientist and Data Engineer

€620/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Thomas

Big Data and Data Scientist Engineer. I am passionate about data and new technologies. I love taking on challenges, from the simplest to the most complicated.
I can be involved in algorithmic optimization, cluster sizing optimization, but also in all types of machine learning and big data problems.
I host artificial intelligence meet-ups in Paris and in the provinces and conduct Deep Learning training.
  • English

    Fluent

  • Spanish

    Conversational

  • French

    Native or bilingual

Can work on-site
Paris (up to 20km)

Experience

  • AmbientIT
    Tensorflow Trainer
    DIGITAL AND IT
    December 2020 - December 2020
    Tensorflow trainer over 4 days for Data Scientists, Data Analysts, Data Engineers...
    TensorFlow Deep Learning Training
  • Total Direct Energie
    FREELANCE DATA SCIENCE & BIG DATA ENGINEER
    ENERGY AND UTILITIES
    July 2019 - Today (6 years and 11 months)
    Paris, France
    Optimization of machine learning algorithms coded in Spark.
    Deployment of code with Microsoft Azure DevOps.
    Creation of Machine Learning and Deep Learning algorithms with Tensorflow (time series prediction, classifications, regressions, clusterings, etc.)
    Work on DataBricks.
    Spark TensorFlow Microsoft Azure DevOps DataBricks
  • Tradelab
    DATA SCIENCE & BIG DATA ENGINEER
    CONSULTING AND AUDITS
    January 2018 - July 2019 (1 year and 6 months)
    Paris, France
    Development of Machine Learning and Deep Learning algorithms in Spark and Python.
    Automation of tasks with Airflow.
    Work with Google Cloud Platform.
    Spark Python Pandas Airflow Scikit-learn TensorFlow Google cloud

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Education

  • Master Data Science & Big Data
    Polytechnic University of Madrid
    2018
    Cours de Spark, Hive, Hadoop, R, Kafka, Python (Scikit-Learn) et AWS. Le but de la formation est de créer des ingénieurs avec des compétences hybrides en Data Science et Big Data.
  • Engineering degree
    ENSEA
    2018
    Diplôme d'ingénieur en spécialité généraliste dans les nouvelles technologies.

Skill set

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