Svitlana Galeshchuk

Svitlana Galeshchuk

Data Scientist, Governance Analytics Group, Université Paris-dauphine
 

Currently employed at Université Paris-dauphine

Previous: University Grenoble Alps, College of Engineering, Nova Southeastern University, USA

 

Previous: Université Lille 1 Sciences Et Technologies, Ternopil National Economic University

Experiences

Data Scientist, Governance Analytics Group

At Université Paris-dauphine

From October 2017 to Present
Multiple research projects in data science and machine learning mainly in NLP and time-series data.
 

VISITING ASSOCIATE PROFESSOR IN DEEP LEARNING

At University Grenoble Alps

From October 2016 to August 2017
Research projects in Deep Learning and Multi-Agent Systems. Giving lectures for doctoral students: Deep Learning in Financial Forecasting
 

FULBRIGHT RESEARCHER AND LECTURER IN MACHINE LEARNING

At College of Engineering, Nova Southeastern University, USA

From October 2015 to August 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)
 

Ternopil National Economic University, Ternopil

PhD, Financial Analysis

From September 2011 to September 2015
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
 

Skills

 
  • Deep Learning
  • Machine learning
  • Mongodb
  • Python
  • SQLite

Langues parlées

 

Centres d'intérêt

 
  • GANs
  • NLP
  • object detection
  • time-series forecasting