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Svitlana GALESHCHUK

Paris

En résumé

Mes compétences :
SQLite
Mongodb
Python
Machine learning
Deep Learning

Entreprises

  • Université Paris-dauphine - Data Scientist, Governance Analytics Group

    Paris 2017 - maintenant Multiple research projects in data science and machine learning
    mainly in NLP and time-series data.
  • University Grenoble Alps - VISITING ASSOCIATE PROFESSOR IN DEEP LEARNING

    2016 - 2017 Research projects in Deep Learning and Multi-Agent Systems. Giving
    lectures for doctoral students: Deep Learning in Financial Forecasting
  • College of Engineering, Nova Southeastern University, USA - FULBRIGHT RESEARCHER AND LECTURER IN MACHINE LEARNING

    2015 - 2016 Research topic: Machine learning techniques for financial predictions.
    Teaching courses for master students: Analytics and Business
    Intelligence, Machine Learning (with image recognition as case studies
    for deep NN)

Formations

  • Université Lille 1 Sciences Et Technologies

    Lille 2013 - 2014 Major de promotion
  • Ternopil National Economic University (Ternopil)

    Ternopil 2011 - 2015 PhD

    Thesis on Accounting and Analysis of the Foreign Trade Operations in
    cooperation with Nestlé Ukraine and Philip Morris Ukraine. Developed
    shallow neural network approach helped improve prediction of revenue
    at these enterprises and strategic planning

Réseau

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