Dr. Mark Egorov

Angestellt, Data Scientist, Sartorius Stedim Biotech
Göttingen, Germany

Fähigkeiten und Kenntnisse

Python
C/C++
Data mining
Data Mining
C/c++
R
Machine learning
Genetic algorithms
Linux
Agile Development
Javascript
React
Node.js
Apache Cassandra
PostgreSQL
Statistics
Big Data

Werdegang

Berufserfahrung von Mark Egorov

  • Current 8 years and 5 months, since Jan 2018

    Data Scientist

    Sartorius Stedim Biotech

  • 3 years and 11 months, Sep 2013 - Jul 2017

    Data Scientist / Software Developer

    Qlaym Healthcare AG

    Development of a new platform with interactive graphic user interface for the analysis of patient and clinical data. Back-end: Development and application of new machine learning methods for patient data analysis (using C++, R, Python as well as Cassandra and PostgreSQL databases). Front-end: Development of web applications for interactive data analysis and data visualization (HTML, CSS, Javascript, React, jQuery, Node.js).

  • 2 years and 4 months, May 2011 - Aug 2013

    Data Scientist / Software Developer

    Qlaym GmbH

    Development of new algorithms for the analysis of gene expression data, clinical and patient data analysis, design of new machine learning methods for the prediction of potential drug candidates

  • 6 years, Sep 2004 - Aug 2010

    Data Scientist

    Matrix Advanced Solutions Germany GmbH

    The main focus of my work was clinical and patient data analysis, optimization of industrial processes, development of new algorithms for fully automated NASDAQ and Forex online trading systems, development of algorithms for predicting the activity of new potential drug candidates.

  • 4 years, Sep 2000 - Aug 2004

    Postdoctoral Researcher

    Institute of Physical Chemistry of the University of Göttingen

    My work had to do with the modeling of free-radical polymerization and diffusion-controlled processes.

Ausbildung von Mark Egorov

  • 5 years and 10 months, Sep 1988 - Jun 1994

    Molecular and Chemical Physics

    Moscow Institute of Physics and Technology

Sprachen

  • German

    C1 (Fließend)

  • English

    C1 (Fließend)

  • Russian

    C2 (Verhandlungssicher / Muttersprachlich)

  • Korean

    A1-A2 (Grundkenntnisse)

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