Teodóra Szép

Teodóra szép

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Followers of Teodóra Szép151 followers
  • Timeline

  • About me

    Applied Scientist at Zalando Payments, Ph.D.

  • Education

    • Vu university amsterdam

      2015 - 2016
      Msc economics

      Public Policy specializationMSc Thesis: Electric company cars in The Netherlands

    • Eötvös loránd university

      2012 - 2015
      Bachelor's degree applied economics

      Full scholarship, Macroeconomics specializationBSc Thesis: Escape from liquidity trap

  • Experience

    • Telekom hu

      May 2015 - Aug 2015
      Intern

      Data management

    • Vrije universiteit amsterdam

      Nov 2016 - Aug 2017
      Researcher

      I studied the effects of electric car taxation policies in the Netherlands using discrete choice modelling.

    • Delft university of technology

      Aug 2017 - Oct 2022
      Researcher ph.d. candidate

      My research concerns quantitative modelling of human decision making. I investigate how different cognitive processes and additional data from questionnaires or natural text can give behavioural insights to state-of-the-art choice models.

    • Zalando

      Feb 2023 - now
      Applied scientist
  • Licenses & Certifications

    • R programming

      Coursera course certificates
      Oct 2016
      View certificate certificate
    • The data scientist’s toolbox

      Coursera course certificates
      Sept 2016
      View certificate certificate
    • Internet emerging technologies

      Coursera course certificates
      May 2016
      View certificate certificate
    • Big data, cloud computing, & cdn emerging technologies

      Coursera course certificates
      Mar 2016
      View certificate certificate
    • Certificate for mastering the fundamentals of front end web development

      Turing society
      Nov 2016
  • Honors & Awards

    • Awarded to Teodóra Szép
      1st prize winner team at EUhackathon2016, Brussels European Parliament Nov 2016 Our team FakeNL with Guilherme Pontes and Zoltán Puha won the 1st prize for visualizing non-official demand for scientific papers through channels of Twitter, Reddit and Sci-Hub. The project can be found on GitHub: https://github.com/FakeNL