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


Machine Learning, SaaS


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


Data processing, Algorithms, Project Management

Machine Learning

Deep learning

IT Infrastructure

Git, Azure Cloud


Image Processing

Big Data

Big Data

Mes études et formations

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