Konstantin Vachnadze

Abschluss: Dr. -Ing. degree is expected in 2018, PhD-Project at Technical University of Munich (TUM)

Munich, Deutschland

Fähigkeiten und Kenntnisse

Data Analysis
Numerical analysis
Computational fluid dynamics
Random Walk
Aeroacoustics
Probability theory
High Performance Computing (HPC)
Python
Fortran
MatLab
Numerische Algorithmen
Programming
Git
Linux
Bash (Unix shell)
TecPlot
ANSYS
Keras: Deep Learning library for Theano and Tensor
Message Passing Interface (MPI)
C/C++

Werdegang

Berufserfahrung von Konstantin Vachnadze

  • 3 Monate, Mai 2018 - Juli 2018

    The Data Incubator Fellow

    Data Reply GmbH

    • Capstone project: Content-based image retrieval (Keras, TensorFlow) • Mini-projects: SQL, web-scraping, machine learning (Scikit-learn, NLP), MapReduce, Spark • Data analysis and visualization: Numpy, Scipy, Pandas, Matplotlib, Bokeh, Flask

  • 5 Jahre und 9 Monate, Sep. 2012 - Mai 2018

    Research assistant, Doktorand

    Technical University of Munich

    • Generation, propagation and reduction of sound in flow ducts for power generation • Modifying academic CFD and CAA solvers for needs of the project (Fortran, C, Python) • Massively parallel computing at LRZ Supercomputer • Teaching assistantship: Practical training in ANSYS CFX, Continuum Mechanics • Supervision of a master's and bachelor's theses

  • 2 Jahre und 9 Monate, Dez. 2009 - Aug. 2012

    Junior Analyst/Analyst

    EY (Ernst & Young)

    Tangible fixed assets valuation • Preparing models for valuation of buildings, constructions and industrial and commercial equipment • Physical verification, estimation of useful lives • Industry research, report writing • Delegation and mentoring

Ausbildung von Konstantin Vachnadze

  • 5 Jahre und 9 Monate, Sep. 2012 - Mai 2018

    Institute of Aerodynamics and Fluid Mechanics

    PhD-Project at Technical University of Munich (TUM)

    Flow Control and Aeroacoustics

  • 2 Jahre und 4 Monate, Juni 2009 - Sep. 2011

    Applied Mathematics and Physics

    Moscow Institute of Physics and Technology

    Aerophysics and motion control

  • 4 Jahre und 4 Monate, Juni 2005 - Sep. 2009

    Applied Mathematics and Physics

    Moscow Institute of Physics and Technology

    Computational Fluid Dynamics

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Russisch

    Muttersprache

  • Georgian

    -

Interessen

Data Science
Big Data
Machine learning

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