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Ben Le CoqBL

Ben Le Coq

Data Scientist

€225/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ben

I am a Data Scientist specializing in Machine Learning [ML] and Natural Language Processing [NLP]. On a more personal note, I am a sports fan and I develop winning sports betting algorithms thanks to my Data Science skills.

I code in Python, manipulate and explore my data with Pandas and Matplotlib, and implement my Machine Learning algorithms with Scikit-Learn and Tensor Flow. For NLP, I use NLTK, Gensim, SpaCy.

I love building and optimizing prediction models on all types of data. However, I particularly enjoy working with text. I work with tweets, books, and articles. I can predict whether a comment is positive or negative, or to which author a document belongs. I can also mine texts to extract information, trends, keywords, or group them by previously unknown topics. If you have textual data, I will be happy to extract the maximum possible information from it.
  • English

    Native or bilingual

  • French

    Native or bilingual

  • Spanish

    Conversational

Can work on-site
Paris (up to 50km), Paris (up to 100km), Lyon (up to 100km), Strasbourg (up to 100km), Lille (up to 100km)

Experience

  • Le Wagon
    Assistant Professor
    EDUCATION AND E-LEARNING
    October 2019 - Today (6 years and 7 months)
    Malmo
    Assistant Professor in Machine Learning and Natural Language Processing during an intensive Data Science course.
    Machine learning NLP Text mining Nltk Scikit-learn Pandas Python TensorFlow Deep Learning
  • Self Employed
    Sports Bettor
    SPORTS
    October 2017 - Today (8 years and 8 months)
    I develop winning sports betting algorithms thanks to my Data Science skills. My next goal is to build a participatory sports prediction platform.
    Data science Machine learning Football Data mining Scikit-learn Pandas Python
  • Football Radar
    Match Analyst
    SPORTS
    September 2015 - September 2017 (2 years)
    London
    Football match analyst at one of the world leaders in football statistics.
    Football Statistics

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Education

  • Sports Management Bachelor
    London Metropolitan University
    2015
    Events, marketing, logistics, ethics, venue management, advertising, public relations.
  • Data Science Masters
    City University London
    2017
    Machine Learning, Deep Learning, Data Visualization, Natural Language Processing, Big data.

Certifications

Skill set (19)

Categories