Igor Gridchyn

Angestellt, Senior Data Architect, TetraScience

Salzburg, Österreich

Fähigkeiten und Kenntnisse

Python
Forschung
MatLab
C++
Data Analysis
Machine Learning
R programming language
Data Science
Linux
Research and Development
Computational neuroscience
Statistics
Software Development
Computer Science
Mathematics
Information technology

Werdegang

Berufserfahrung von Igor Gridchyn

  • Bis heute 3 Jahre und 1 Monat, seit Juni 2021

    Senior Data Architect

    TetraScience

  • 9 Monate, Okt. 2020 - Juni 2021

    Data Engineer and Solution Architect

    TetraScience

  • 2 Jahre und 3 Monate, Sep. 2018 - Nov. 2020

    Postdoctoral Researcher

    Institute of Science and Technology Austria
  • 6 Jahre und 1 Monat, Sep. 2012 - Sep. 2018

    Researcher

    IST Austria

  • 2 Jahre, Okt. 2010 - Sep. 2012

    Research Software Engineer

    Viewdle

  • 5 Monate, Mai 2011 - Sep. 2011

    Summer of Code 2011 Intern at Scilab

    Google

  • 5 Monate, Mai 2010 - Sep. 2010

    Summer of Code 2010 Intern at Scilab

    Google

  • 1 Jahr und 6 Monate, Mai 2007 - Okt. 2008

    Juinior Software Engineer

    Institute for Telecommunications and Global Information Space

Ausbildung von Igor Gridchyn

  • 5 Jahre und 5 Monate, Mai 2013 - Sep. 2018

    Computational / Systems Neuroscience

    Institute of Science and Technology Austria

    Machine Learning, Algorithms, Statistics, DIfferential Equations, Discrete Mathematics, Linear algebra, Moleclar Cell Biology, Intoduction to Neuroscience

  • 1 Jahr und 10 Monate, Sep. 2009 - Juni 2011

    Informatics

    Taras Shevchenko National University of Kyiv

    Artificial intelligence, Optimization theory, Information technologies, Mathematical Biology, Object-oriented programming, UNIX-like operating systems, Mathematical models of computer graphics, Sensor systems modelling, Computer algebras, Applied logic, .NET technologies.

  • 3 Jahre und 9 Monate, Sep. 2005 - Mai 2009

    Applied mathematics

    Taras Shevchenko National University of Kyiv

    Algorithms theory, Pattern recognition, System programming, Numerical methods, Computer networks, Discrete mathematics, Programming, Calculus, Probability theory, Databases, Modelling of environmental and economic processes, Mathematical modelling, Data analysis

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Fließend

  • Russisch

    Muttersprache

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