Benjamin - Consultant PYTHON

Ref : 170730M001
Photo de Benjamin, Consultant PYTHON
Compétences
Expériences professionnelles
  • PhD student, CNRS (LIMSI), Orsay, The National Center for Scientific Research
    Jan 2017 - Jan 2020

    is the largest French public scientific research organization.
    PhD thesis : Use image, sound and natural language processing methods with deep learning
    and machine learning to detect a speaker in a TV series

  • Trainer, ENSIC for Pôle Emploi, Malakoff, Micro-enterprise.
    Jan 2017 - Jan 2017

    Giving training around Big Data, Machine Learning, Spark, Mongo-db and Python

  • Architect and developer, Micro-enterprise

    Jan 2017 - Jan 2017

    Paris.
    Creating a framework for Messenger bot projects with Javascript (Nodejs) et design database

  • R&D engineer intern, Kolibree, Neuilly sur Seine.
    Jan 2017 - Jan 2017

    Pre-doctoral thesis : Use machine learning and image processing (geometric and deep
    learning method) to create a connected toothbrushe

  • Data Scientist internship

    Crédit Agricole, Montrouge.
    Jan 2016 - Jan 2016

    Master thesis : Use machine learning methods in order to detect outliers into financial data
    (Big Data)

  • Research internship

    INRIA, Vandoeuvre-lès-Nancy.
    Jan 2015 - Jan 2015

    Engineering thesis : optimize some parallel algorithms in order to extract patterns for sparse
    graphs with the framework Spark from Apache (Big Data)

  • Business Engineer Assistant

    SOCOM Luxembourg, Arcelor Mittal site
    Jan 2014 - aujourd'hui

    Differdange.
    Revamping of a rolling stand in passing to optical fiber, automation of a production line,
    setting up to standard high-voltage transformers in collaboration with a team of ten people

  • Engineering internship, CYBERnano, Vandoeuvre-lès-Nancy.
    Jan 2014 - Jan 2014

    Biological data analysis with Matlab in a team of three people
    05/2014 Study and realization of a project for a client, Facto3D, Nancy.
    Implementation of an android application to control LEDs and motors using Bluetooth in
    direct contact with the customer
    Miscellaneous

  • Summer job, SOCOM Luxembourg, Ahlstrom site Stenay.
    aujourd'hui

    Wiring in electrical cabinets, automation : I/O, power connection
    07/09 and
    07/10
    Seasonal work, Tech Micro SAV, Joeuf.
    After Sales Service :
    — assembly of computers (hardware)
    — troubleshooting (town / schools / individuals)

Études et formations
  • Education

    2017–2020 PhD, Université Paris-Saclay, Paris.
    The University of Paris-Saclay is a community of universities and multidisciplinary institutions
    in the south of Paris, in the Essonne and the Yvelines, created on December 29, 2014.
    It consists of three universities, nine French National Schools of Engineering and seven
    research organizations

    2016–2017 PhD pre-doctoral year, Paris Sciences Lettres : multidisciplinary, innovation and
    entrepreneurship, Paris.
    PSL-ITI was conceived by four Paris Sciences Lettres institutes that excel in scientific and
    engineering research, and which have produced numerous PhD graduates responsible for
    creating innovative startups :
    — three elite engineering schools : Chimie ParisTech, ESPCI, MINES ParisTech
    — the Ecole Normale Supérieure
    PSL-ITI also relies on the University Paris-Dauphine, Institut Curie, Observatoire de Paris,
    Collège de France, and École Nationale Supérieure des Arts Décoratifs. It enjoys an active
    partnership with the Ecole Nationale des Ponts et Chaussées.
    Specialization :
    — cognitive engineering
    — quantum engineering
    — applied mathematics for signal and image processing

    2015–2016 Master’s Degree in Financial Mathematics, Ecole Nationale Supérieure des
    Mines de Nancy and Université de Lorraine, Nancy.
    Specialized in Engineering Mathematics (Mathematics for Financial Modeling) and Computing Tools (IMOI) :
    — stochastic modeling and simulations (Monte Carlo)
    — quantitative finance (Ito process, stochastic integral and copula, Brownian motion)
    — statistical methods (ACP, AFC, AFCM)
    — macroeconomics
    — game theory
    — operational research (Simplex)

    2014–2015 Master of Research in Computer Science, Université de Lorraine, Nancy, with
    merit.
    Specialized in Interaction, Perception, Machine Learning and Knowledge
    Namely, I have worked on :
    — a Hidden Markov Model, a Bayesian network and a Markov chain (Gambler problem)
    (Java)
    — a multilayer perceptron (neural network) (Python)
    — a movie recommender system with collaborative filtering (Java)
    — a Multi-Agent System to explore an map unknown environment (Java)
    — a knowledge base designed to answer semantic web queries (RDF, RDFS, OWL,
    SPARQL queries)

    2012–2015 Graduate in Computer Science at the Engineering School, TELECOM Nancy
    (Lorraine INP) formerly ESIAL, Nancy.
    Specialized in Embedded Software :
    — graph theory (simplex algorithm, maximal flow) (Matlab)
    — linear optimization (Matlab)
    — image and audio processing (Matlab and Python)
    — algorithms (A*
    , Knapsack, sorting) (Java)
    — coding a Peer2Peer system (C)
    — developing a compiler (Java)
    — performing a statistical study based on game theory (Java)
    — project for subtitling video sequences (JSON, QML)
    2009–2012 Preparatory School for the competitive entrance examination of the French
    National Schools of Engineering PTSI/PT*, Lycée Henri-Loritz, Nancy, ECTS
    credits : overall statement A - very good with Distinction.
    Specialized in Mathematics, Physics, Engineering Sciences
    Projects (TIPE) :
    — "Mechanical study to predict the movements of the Taipei Tower in Taiwan"
    — "Theorical and practical modelling of an Archimede scre
    w"
    — "Study of the Mpemba effect (water supercooling phenomenon) by coupling the
    model and experimental measurements"

    2009 Science Baccalauréat, Collège/Lycée Assomption, Briey, with merit.
    Majored in Mathematics, Physics/Chemistry and Biology – music option
    Project (TPE) : "Bionic arms / human arms"
    Production of a human-size model of a bionic arm implanted on the bust of a mannequin
    activated by pneumatic cylinders controlled by solenoid valves ; the aim is to understand the
    biological function of an arm and identify differences with robotic arms

    PhD
    Title Automatic enrichment of TV series and movies transcripts
    Supervisors Hervé Bredin, Camille Guinaudeau
    Description Use image, sound and natural language processing methods with deep learning and
    machine learning to detect a speaker in a TV series
    PhD pre-doctoral year
    Title Image processing and machine learning on connected toothbrushes
    Supervisors Léonie Williamson, Damien Seux, Jerome Lesueur
    ********
    H +33 6 99 56 72 70 • T +33 3 87 58 61 47
    B ********
    Í ********/pub/benjamin-********/a5/349/629/fr
    additionnal information : French nationality, birth date : October 15th 1991

    Description Use image processing methods (geometric and deep learning : CNN) to construct
    a robust method to detect the toothbrush and deduce the position in the mouth.
    Prototype in Python with Keras and Scikit-Learn and robust implementation in
    C++ with Caffe, TinyDnn and OpenCV

    Master thesis in Mathematics
    Title Detection of outliers by unsupervised methods
    Supervisors Nicolas Damay, Pierre Vallois
    Description Use methods by density and clustering (PCA and K-means or DBSCAN or LOF) or
    neural networks (LSTM, deep learning with deep denoising auto-encoder, q-learning)
    in order to detect outliers using static and dynamic data (time series)
    Engineering thesis / Master thesis in Computer Science
    Title Subgraphs mining with user preferences
    Supervisors Chedy Raïssi, Didier Galmiche, Gérald Oster
    Description Optimization and simultaneous implementation of three algorithms to extract
    characteristic portions of a complex graph :
    The degeneracy algorithm allows you to organize effectively a graph with a
    complexity O(n)
    Bron-Kerbosch with degeneracy provides all maximal cliques of a graph
    Quick provides the maximum quasi - cliques of a graph

    Computing skills

    Administration Windows and Linux (Debian, Fedora, Archlinux)
    Project
    management
    familiar with Git and Agile software development
    Software Eclipse, Intellij, QtCreator, Open-cv (digital image processing, Delaunay’s triangulation), Mathematica, SolidWorks, Catia, R
    Scientific
    computing
    and
    languages
    Matlab, Java, JS (node.js), JavaFX, C, C++ with Qt, python (Keras based
    on Theano for Machine Learning and NLP, scikit-learn, pandas, scipy, numpy,
    matplotlib), VHDL, qml (android, iOs), VBA, Owl, SQL, LATEX, Shell
    Online
    Courses
    Coursera (MOOC) : Data Mining, Hadoop distributed file system and financial
    mathematics

    Entrepreneurial and communication skills

    2014–Now Project leader of an ad-targeting platform on set-top box within the TELECOM
    Nancy/Promotech incubator
    2014 Presentation to the Metz town hall of a project for providing data on traffic signals
    to various road users
    2013 Various timing financial negotiations as treasurer of the Anim’est association

    Languages
    French Mother tongue
    English Solid working knowledge TOEIC 780
    Spanish Basic skills
    Russian Beginner

    Miscellaneous
    - Driving license (car and motorbike)

Autres compétences
Education

2017–2020 PhD, Université Paris-Saclay, Paris.
The University of Paris-Saclay is a community of universities and multidisciplinary institutions
in the south of Paris, in the Essonne and the Yvelines, created on December 29, 2014.
It consists of three universities, nine French National Schools of Engineering and seven
research organizations

2016–2017 PhD pre-doctoral year, Paris Sciences Lettres : multidisciplinary, innovation and
entrepreneurship, Paris.
PSL-ITI was conceived by four Paris Sciences Lettres institutes that excel in scientific and
engineering research, and which have produced numerous PhD graduates responsible for
creating innovative startups :
— three elite engineering schools : Chimie ParisTech, ESPCI, MINES ParisTech
— the Ecole Normale Supérieure
PSL-ITI also relies on the University Paris-Dauphine, Institut Curie, Observatoire de Paris,
Collège de France, and École Nationale Supérieure des Arts Décoratifs. It enjoys an active
partnership with the Ecole Nationale des Ponts et Chaussées.
Specialization :
— cognitive engineering
— quantum engineering
— applied mathematics for signal and image processing

2015–2016 Master’s Degree in Financial Mathematics, Ecole Nationale Supérieure des
Mines de Nancy and Université de Lorraine, Nancy.
Specialized in Engineering Mathematics (Mathematics for Financial Modeling) and Computing Tools (IMOI) :
— stochastic modeling and simulations (Monte Carlo)
— quantitative finance (Ito process, stochastic integral and copula, Brownian motion)
— statistical methods (ACP, AFC, AFCM)
— macroeconomics
— game theory
— operational research (Simplex)

2014–2015 Master of Research in Computer Science, Université de Lorraine, Nancy, with
merit.
Specialized in Interaction, Perception, Machine Learning and Knowledge
Namely, I have worked on :
— a Hidden Markov Model, a Bayesian network and a Markov chain (Gambler problem)
(Java)
— a multilayer perceptron (neural network) (Python)
— a movie recommender system with collaborative filtering (Java)
— a Multi-Agent System to explore an map unknown environment (Java)
— a knowledge base designed to answer semantic web queries (RDF, RDFS, OWL,
SPARQL queries)

2012–2015 Graduate in Computer Science at the Engineering School, TELECOM Nancy
(Lorraine INP) formerly ESIAL, Nancy.
Specialized in Embedded Software :
— graph theory (simplex algorithm, maximal flow) (Matlab)
— linear optimization (Matlab)
— image and audio processing (Matlab and Python)
— algorithms (A*
, Knapsack, sorting) (Java)
— coding a Peer2Peer system (C)
— developing a compiler (Java)
— performing a statistical study based on game theory (Java)
— project for subtitling video sequences (JSON, QML)
2009–2012 Preparatory School for the competitive entrance examination of the French
National Schools of Engineering PTSI/PT*, Lycée Henri-Loritz, Nancy, ECTS
credits : overall statement A - very good with Distinction.
Specialized in Mathematics, Physics, Engineering Sciences
Projects (TIPE) :
— "Mechanical study to predict the movements of the Taipei Tower in Taiwan"
— "Theorical and practical modelling of an Archimede scre
w"
— "Study of the Mpemba effect (water supercooling phenomenon) by coupling the
model and experimental measurements"

2009 Science Baccalauréat, Collège/Lycée Assomption, Briey, with merit.
Majored in Mathematics, Physics/Chemistry and Biology – music option
Project (TPE) : "Bionic arms / human arms"
Production of a human-size model of a bionic arm implanted on the bust of a mannequin
activated by pneumatic cylinders controlled by solenoid valves ; the aim is to understand the
biological function of an arm and identify differences with robotic arms

PhD
Title Automatic enrichment of TV series and movies transcripts
Supervisors Hervé Bredin, Camille Guinaudeau
Description Use image, sound and natural language processing methods with deep learning and
machine learning to detect a speaker in a TV series
PhD pre-doctoral year
Title Image processing and machine learning on connected toothbrushes
Supervisors Léonie Williamson, Damien Seux, Jerome Lesueur
********
H +33 6 99 56 72 70 • T +33 3 87 58 61 47
B ********
Í ********/pub/benjamin-********/a5/349/629/fr
additionnal information : French nationality, birth date : October 15th 1991

Description Use image processing methods (geometric and deep learning : CNN) to construct
a robust method to detect the toothbrush and deduce the position in the mouth.
Prototype in Python with Keras and Scikit-Learn and robust implementation in
C++ with Caffe, TinyDnn and OpenCV

Master thesis in Mathematics
Title Detection of outliers by unsupervised methods
Supervisors Nicolas Damay, Pierre Vallois
Description Use methods by density and clustering (PCA and K-means or DBSCAN or LOF) or
neural networks (LSTM, deep learning with deep denoising auto-encoder, q-learning)
in order to detect outliers using static and dynamic data (time series)
Engineering thesis / Master thesis in Computer Science
Title Subgraphs mining with user preferences
Supervisors Chedy Raïssi, Didier Galmiche, Gérald Oster
Description Optimization and simultaneous implementation of three algorithms to extract
characteristic portions of a complex graph :
The degeneracy algorithm allows you to organize effectively a graph with a
complexity O(n)
Bron-Kerbosch with degeneracy provides all maximal cliques of a graph
Quick provides the maximum quasi - cliques of a graph

Computing skills

Administration Windows and Linux (Debian, Fedora, Archlinux)
Project
management
familiar with Git and Agile software development
Software Eclipse, Intellij, QtCreator, Open-cv (digital image processing, Delaunay’s triangulation), Mathematica, SolidWorks, Catia, R
Scientific
computing
and
languages
Matlab, Java, JS (node.js), JavaFX, C, C++ with Qt, python (Keras based
on Theano for Machine Learning and NLP, scikit-learn, pandas, scipy, numpy,
matplotlib), VHDL, qml (android, iOs), VBA, Owl, SQL, LATEX, Shell
Online
Courses
Coursera (MOOC) : Data Mining, Hadoop distributed file system and financial
mathematics

Entrepreneurial and communication skills

2014–Now Project leader of an ad-targeting platform on set-top box within the TELECOM
Nancy/Promotech incubator
2014 Presentation to the Metz town hall of a project for providing data on traffic signals
to various road users
2013 Various timing financial negotiations as treasurer of the Anim’est association

Languages
French Mother tongue
English Solid working knowledge TOEIC 780
Spanish Basic skills
Russian Beginner

Miscellaneous
- Driving license (car and motorbike)

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