Raphaël A.

Data Scientist

830 dollar
4 ans

Mon expérience

Trax RetailMarch 2020 - Présent

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YOOBICApril 2019 - September 2019

Deep Learning for Image Recognition applied to the Retail field

Implemented solutions for one-shot learning, such as autoencoders, ensemble models (mainly Stacking).
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UpdityOctober 2016 - January 2019

Updity, the collaborative 4G sharing app
Updity is an app letting you have secured and fast 4G everywhere. More informations on fb.me/updity.

• Whole development of the Application and the Server.
Development tools : Android - Java, iOS - Swift, Python - Django. Databases in PostGreSQL
Closed Beta launched.
• Start-up Contests : Talents Paris 2024 (certification label obtained), PEPITE contest.
• Pitchs skills : namely with LVMH (Ian Rogers) and in front of the City of Paris’ Panel (Talents Paris 2024)
• Involved in the Legal Study, in charge of Communication.
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Versatile NaturesJune 2018 - August 2018

Versatile Natures is a start-up offering efficiency and security improvements of cranes on construction sites, through machine learning technology.
A boarded sensors case enables the data gathering and the monitoring of the cranes.

Algorithm Development - Python, AWS DynamoDB
• Implemented a version of Gaussian mixture model capable of estimating the number of modes without external thresholds.
• Extraction of steady state signal segments from noisy data.

Data Analysis - Matlab, Python (Scikit-learn, tensorflow), MySQL, AWS
• Investigation of barometer altitude estimation and temperature variation coupling. Includes field-study on construction sites to collect missing data.
• Deep Learning on all the databases to predict the crank’s behaviour.

Software development - Django (Python)
• Developped the admin system - an administrative layer above the database
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KLESIAJuly 2017 - August 2017

1-month Application Internship.
Use of Excel and SAS company's softwares.

Mes compétences

Machine Learning

Deep learning, TensorFlow, Scikit-Learn

IT Infrastructure





PostGreSQL, MySQL, DynamoDB




R Language, Swift, Java, C/C++, Python, Matlab, SQL


Machine Learning, AWS

Mes études et formations

Master, Data Science. Economy & Entrepreneurship - Telecom ParisTech2016 - 2019

Master 2 (M2), Data Science : Advanced Statistics, Machine Learning, Deep Learning - École Polytechnique2018 - 2019

Prepa MPSI / MP* - Lycée Charlemagne2014 - 2016

Baccalauréat S, Graduated with honors - Lycée Louis le Grand2011 - 2014