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Louis ReynouardLR

Louis Reynouard

Python Developer & Data Analyst

€600/day
1 project
Aix-les-Bains, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Louis

600€/day starting collaboration rate.
With a background as a biomedical engineer specializing in signal processing and artificial intelligence, I now focus on maximizing the use of activity data, with a specialization in the healthcare field.
I can assist you at various stages of this process, from the initial definition of your needs, the implementation of your projects, the development of technological solutions, to the actual development of calculation scripts, machine learning APIs, or custom dashboards.
I specialize in using the Python language, while also being capable of developing and integrating these solutions into web applications for easier deployment and use.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Aix-les-Bains (up to 50km)

Experience

  • AER Data
    Training a machine learning model to detect and read European license plates
    AUTOMOBILE
    October 2022 - October 2022 (1 month)
    Aix-les-Bains, France
    Training and improving a machine learning model to identify license plates in order to "anonymize" vehicle photos by blurring these plates once detected.
    Python artificial intelligence Pytorch Data science scrapping GPU
  • AER Data
    Study and scientific paper writing
    MEDICAL
    May 2022 - July 2022 (2 months)
    Aix-les-Bains, France
    Performing calculations, creating graphs, and writing articles related to medical research.
    Writing Python Statistics Charts
  • AER Data
    Creation of a price construction model for seasonal rentals
    REAL ESTATE
    March 2022 - July 2022 (4 months)
    Aix-les-Bains, France
    The objective of this work was to define nightly rental rates for a property intended for short-term rental. This property is unique due to its concept and capacity, making traditional pricing tools less suitable. The first phase involved collecting market data. Based on this data, I conducted an in-depth analysis to position any new property within this complex ecosystem, establish the dates for different seasons (high, medium, low), and then recommend nightly prices based on the property's occupancy.
    scrapping Python Data analysis model Prediction JavaScript

Reviews

5.0

Out of 1 rating

PierreP

Pierre

Fluidy

Reviewed on 6/1/2022

Short data evaluation service performed within deadlines and with quality. Pleasant relationship and relevant results.

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Education

  • HACCP Training
    GFE LAFERRIERE
    2017
  • L2
    University Grenoble Alpes
    2017

Skill set

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