Sebastien Fischman

Research Engineer - Computer Vision at DAMAE Medical
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Contact Information
us****@****om
(386) 825-5501
Location
FR
Skills

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Bio

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Credentials

  • Convolutional Neural Networks
    Coursera
    Dec, 2017
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Sep, 2017
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Sep, 2017
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Aug, 2017
    - Nov, 2024
  • edX Honor Code Certificate for Introduction to Big Data with Apache Spark
    edX
  • edX Honor Code Certificate for Scalable Machine Learning
    edX

Experience

  • Damae Medical
    • France
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Research Engineer - Computer Vision
      • May 2020 - Present

  • DreamQuark
    • France
    • Software Development
    • 1 - 100 Employee
    • Lead Data Scientist
      • Jul 2019 - May 2020

    • Data Scientist
      • Feb 2018 - Jul 2019

  • SESAMm
    • France
    • Financial Services
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jan 2017 - Aug 2017

  • CentraleSupélec
    • France
    • Higher Education
    • 700 & Above Employee
    • Research Engineer in Deep Learning
      • Sep 2016 - Jan 2017

  • Nokia Bell Labs
    • Telecommunications
    • 700 & Above Employee
    • Research Engineer Deep Learning
      • Sep 2016 - Jan 2017

  • Quantium
    • Australia
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Scientist
      • Nov 2015 - Apr 2016

  • Jellyfish
    • United Kingdom
    • Advertising Services
    • 700 & Above Employee
    • Data Scientist R&D, Intern
      • Apr 2015 - Oct 2015

      Mathematical modeling for Customer Prospecting in Web Advertising campains in Real Time Bidding. Graph Mining and Machine Learning techniques applied to large data sets using pySpark. Mathematical modeling for Customer Prospecting in Web Advertising campains in Real Time Bidding. Graph Mining and Machine Learning techniques applied to large data sets using pySpark.

  • Bluestone
    • France
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist, Intern
      • Apr 2014 - Sep 2014

      Data Scientist Intern, specialized in Big Data technologies. Textmining, datamining, machine learning, temporal series, distributed computing (pySpark), database management (SQL,HDFS...), data visualization. Data Scientist Intern, specialized in Big Data technologies. Textmining, datamining, machine learning, temporal series, distributed computing (pySpark), database management (SQL,HDFS...), data visualization.

  • Ambassade de France aux Etats-Unis, Mission pour la science & la technologie
    • Government Administration
    • 1 - 100 Employee
    • Scientific Attaché Intern
      • Mar 2013 - Jul 2013

      Scientific monitoring about Big Data in the US, redaction of an embassy report named «Recherches, Innovations et Formations sur le Big Data aux Etats-Unis» (freely available only in french version here : http://goo.gl/2egeaW) and scientific newsletters available on http://www.bulletins-electroniques.com. Veille scientifique sur le Big Data, rédaction de brèves scientifiques ainsi que d'un rapport d'ambassade intitulé "Recherche, Innovation et Formations sur le Big Data aux Etats Unis"​ téléchargeable ici : http://www.bulletins-electroniques.com/rapports/smm13_017.htm

Education

  • Ecole Normale Supérieure de Cachan
    Master 2 (M2), Master MVA, Machine Learning
    2014 - 2015
  • Ecole normale supérieure de Cachan
    Master, Mathématiques
    2011 - 2015
  • Université Pierre et Marie Curie (Paris VI)
    Master 2 (M2), Probabilités et Modèles Aléatoires
    2013 - 2014
  • Lycée Saint-Louis
    Classes préparatoires, Maths/Physique/Info
    2008 - 2011

Community

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