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Julien Guinot

Data Scientist/Data Analyst/Machine Learning
  • Suggested rate
    £249 / day
  • Experience0-2 years
  • Response rate66%
  • Response time1 hour
The project will begin once you accept Julien's quote.
Location and workplace preferences
Location
Paris, France
Remote only
Primarily works remotely
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Skill set (44)
Julien in a few words
I'm a graduate engineer from Ecole centrale de Lyon. I am passionate about machine learning, data science and analytics and what they can bring to companies from an innovation and business perspective.

Having finished my internships, I have decided to undertake a freelance career as a data scientist to augment my employablity as well as hone the skills I have acquired over the course of my internships

I am available for work as:
- Data scientist from the project conception stage to result analysis stage, as well as data needs analysis, data capturing, model and pipeline building. My specialties as of now are NLP and geographical data, but I am also capable in forecasting, EDA, Computer Vision, etc...
- Data Analyst, building comprehensive explorative viz boards towards business insights
- Data engineer: MLOps


I'm highly interested in work relating to the music industry, as music has long been my passion, and is one of several domains I am highly interested in, along with sports, the entertainment industry, as well as graphical production and design.

I am highly autonomous and all the clients I have had the opportunity of working with in the context of my internships have been satisfied with the data-focused solutions and results I have proposed and produced.

Looking forward to working with you!
Experience
  • Groover
    Data Scientist
    DIGITAL & IT
    April 2022 - September 2022 (6 months)
    Paris, France
    Master’s Thesis: Implementation of audio tagging at scale towards better musical recommendations : Researched, developed and implemented state of the art music tagging models using Tensorflow, Pytorch and Librosa.

    Implemented full audio preprocessing pipeline using Python and AWS. Developed a clear understanding of represenation learning, music tagging.

    Used Metabase and SQL to generate business insights for other teams. Research in Music Information Retrieval and general ML state of the art towards better company research culture

    Skills: Linux · Deep Learning · Recommender Systems · Music Information Retrieval · Computer Vision · Data Science · Machine Learning · TensorFlow
    TensorFlow Pytorch MySQL SQL PostgreSQL Data science Machine learning Deep Learning
  • Artefact
    Data Scientist
    DIGITAL & IT
    March 2021 - October 2021 (7 months)
    Paris, Île-de-France, France
  • Data New Road
    Data Science Intern
    October 2020 - March 2021 (5 months)
    Lyon, Auvergne-Rhône-Alpes, France
Recommendations
Education
  • MSc Engineering
    Ecole centrale de Lyon
    General engineering, from mechanical to computer, electrical, acoustics, data...
  • MSc Engineering with a specialization in acoustics
    University of Adelaide
Certifications
  • Machine learning
    Coursera
    2020