
Aynur Pashayeva
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Aynur Pashayeva
- Current 10 years and 2 months, since Apr 2016
Junior Testautomatisierer
ARRI Cinetechnik
- 8 months, Jul 2015 - Feb 2016
Working Student
ARRI Cinetechnik
Comparison of Contrast Sensitivity Function model offered by Barten and the results obtained during the visual experiment conducted and proposal of possible improvements Investigation of Human Visual System model based on works of Nadenau and research on noise masking Improvement of the denoising algorithm based on the knowledge about Human Visual System obtained
- 7 months, Jan 2015 - Jul 2015
Master thesis student
ARRI Cinetechnik
Investigations of existing wavelet based image denoising algorithm Development and conduction of visual experiment identifying visibility and disturbance of different noise types to human visual system Improvement of a wavelet based denoising algorithms based on the results of experiment
As an application support engineer, I had the following duties: - Development of web applications for local Intranet using ASP.NET/C#, SQL, PHP, HTML, JavaScript - Writing technical specifications for the outsourced software development based on user requirements - Support and improvement of existing web applications As a performance analyst, I was mostly working on improvement of the radio equipment registration process through the governmental organizations, which lead to strong time and cost savings.
Ausbildung von Aynur Pashayeva
- 2 years and 10 months, Oct 2012 - Jul 2015
Computational Science and Engineering
Technische Universität München
Numerical Programming Parallel Numerics Programming of Supercomuters Machine Learning Patterns in Software Development etc
- 1 year and 11 months, Feb 2010 - Dec 2011
MBA Computer Information Systems
Azerbaijan State Oil Academy
- 3 years and 11 months, Sep 2005 - Jul 2009
Applied Mathematics
Baku State University
Mathematical analysis Theory of functions of complex variables Analytical geometry Linear algebra Numerical methods Differential equations (ODE/PDE) Equations of mathematical physics Discrete mathematics Optimization methods Probability theory and Statistics
Sprachen
English
C1 (Fließend)
Russian
C2 (Verhandlungssicher / Muttersprachlich)
German
B1-B2 (Gute Kenntnisse)
Turkish
C1 (Fließend)
Azerbaijani
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