Berk Dogan

Angestellt, Digital Innovation Manager, SCHOTT AG
Abschluss: Master of Science - MSc, ETH Zurich
Mainz, Germany

Skills

Machine Learning
Deep Learning
Software Development
Computer Vision
Natural Language Processing
Data Science
Python
Pandas
Django Framework
TensorFlow
Scikit-Learn
PostgreSQL
Git
Linux
AWS
Data Analysis
MatLab
Java
Windows
LaTeX
Super-resolution
Image Segmentation
Representation Learning

Timeline

Professional experience for Berk Dogan

  • Current 4 years and 2 months, since Feb 2022

    Digital Innovation Manager

    SCHOTT AG
  • 1 year and 8 months, Jun 2020 - Jan 2022

    Machine Learning Engineer

    Largo Films

    -Lead software developer in Python and technical product developer -Developed machine/deep learning models for computer vision, natural language processing and classical machine learning tasks -Designed Website (SaaS) backend and led a web development team as a project manager -Maintained and designed the company database -Administered the operations in AWS -Supervised student projects and contributed to the selection of the new employees

  • 1 year and 8 months, Jun 2020 - Jan 2022

    Software Engineer

    EPFL

    -Image and Visual Representation Lab (IVRL)

  • 4 months, Jun 2016 - Sep 2016

    Summer Intern

    Fraunhofer IIS

    -Implemented a transceiver in MATLAB that is compliant with the IEEE 802.15.4 ultra-wideband physical layer and performed related simulations

  • 1 month, Aug 2015 - Aug 2015

    Summer Intern

    Meteksan Defence

    -Wrote a MATLAB program with GUI that performs cascade analysis calculations for gain, noise figure, IP3 and P1dB variables of arbitrary number of stages; did research on sense and avoid systems

Educational background for Berk Dogan

  • 2 years and 2 months, Sep 2017 - Oct 2019

    Electrical Engineering and Information Technology

    ETH Zurich

    -Specialized in machine learning, deep learning, and computer vision -Acquired hands-on experience in disentangled representation learning, semantic segmentation, domain adaptation, variational autoencoders, generative adversarial networks, face hallucination and super-resolution at the Computer Vision Laboratory, ETH Zurich -Master’s Thesis: Disentanglement of Aging and Disease Effects in Alzheimer's Disease Progression via Deep Learning

  • 3 years and 10 months, Sep 2013 - Jun 2017

    Electrical and Electronics Engineering

    Bilkent University

    -Comprehensive Scholarship

Languages

  • English

    First language

  • Turkish

    First language

  • German

    Intermediate

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