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Experiences

Current Experience

  • PhD student
    Since March 2016
    Research in the fields of Machine Learning and Data analysis. Development of signal processing applications using spectral graph theory. Signal processing research in frame of MacSeNet project (http://www.macsenet.eu/). Image processing research.

Past Experience

  • SW Engineer
    September 2012 --- March 2016
    Software development.

Knowledge

LinkedIn Assessment :
Machine LearningData AnalysisData ScienceApache SparkPythonBig DataRSoftware DevelopmentWeb DevelopmentSoftware EngineeringC#ASP.NETSelenium WebDriverJavaUMLObject Oriented DesignTest AutomationJIRALinuxProject PlanningXMLCMongoDB

Education

  • Doctor of Philosophy (PhD) in Electrical and Electronics Engineering from Ecole polytechnique fédérale de Lausanne in 2020
  • Research Doctorate in Computer Technology/Computer Systems Technology from Kharkiv National University of Radio Electronics in 2016
  • Master's degree in Computer Engineering from Kharkiv National University of Radioelectronics in 2013
  • Bachelor of Science (BSc) in Computer Engineering from Kharkiv National University of Radioelectronics in 2012

Training and Certification

  • Algorithms: Design and Analysis, Part 1. Stanford University. Certification
  • Implementing Real-Time Analytics with Hadoop in Azure HDInsight Certification
  • Internet of Things and Smart Cities Certification
  • Introduction to Big Data with Apache Spark. BerkeleyX Certification
  • Machine Learning Certification
  • Scalable Machine Learning. BerkeleyX Certification
  • The Analytics Edge. MITx Certification

Area / Region

Lausanne, Switzerland

Others

Driving License
  • No