Simon B.

Data Scientist

960 dollar

Mon expérience

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FreelanceOctober 2019 - Présent

▪ Consulting in machine learning, deep learning, automation and digital transformation strategy 
▪ Managing digital projects focused on innovative solutions 
▪ Implementing code from proof of concept to industrialized pipeline 
▪ Exploring research and translating state of the art techniques to business applications
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Blue Ridge LogicielsNovember 2016 - September 2019

▪ Managing projects revolving around computer vision and automation for industrial footwear applications 
o Automated 3D object processing for footwear industry allowing to control the fitting of a shoe 
o Foot scanning by smartphone for retail applications 
▪ Establishing pilot programs and partnerships with international brands 
▪ Writing and applying patents under PCT
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Blue Ridge LogicielsJuly 2015 - November 2016

▪ Project to build an algorithm able to automatically generate custom-fit shoe lasts using 3D objects as input 
▪ Lead developer, managing technical team, and performing industrial tests 
▪ Interfacing with shoe experts and integrating traditional know-how in mathematical models and algorithms 
▪ Fund raising and public subsidies applications
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CEA Saclay Astrophysics DivisionApril 2011 - June 2015

▪ Research on dictionary learning methods for astrophysics and cosmology problems 
▪ Design of learning methods optimized for astrophysical data 
▪ Collaboration with Harbin Institute of Technology on dictionary learning for seismic data 
▪ Publication of research articles in A&A journal joined with Matlab and C++ libraries
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CaltechJuly 2010 - April 2011

▪ Image co-registration for seismic fault detection with COSI-Corr software, developed at the Seismic Observatory
▪ Design of the Affine Parameters Estimation by Random Sampling (APERS) algorithm, implemented in Matlab
▪ RANSAC-like approach for affine transformation parameter estimation
▪ User-friendly parametrization that doesn't require user input to calibrate
▪ Aerial, satellital and LIDAR images
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Thales Alenia SpaceJuly 2009 - August 2009

▪ Study of compressed sensing algorithm and sparsity prior for image processing
▪ Implementation of CoSaMP in Matlab
▪ Benchmark for CoSaMP, testing influence of sparsity, noise and number of measurements on reconstruction quality
▪ Quantization and compressed sensing, bandwidth versus accuracy

Mes compétences

Technologies

Machine Learning, SaaS

Languages

Matlab, Python, C++, C/C++

Others

Data processing, Algorithms, Project Management

Machine Learning

Deep learning

IT Infrastructure

Git, Azure Cloud

Graphic

Image Processing

Big Data

Big Data

Mes études et formations

Master’s Degree, Mathematics and Computer Science - Ecole Normale Supérieure de Cachan2008 - 2011