David Zenz
About

David Zenz

Data Scientist / Statistician at wiiw (Vienna Institute for International Economic Studies)

Developing R Shiny applications, designing and implementing automated data pipelines, integrating large-scale international trade datasets and other Big Data sets into research. Research on trade, agent-based modeling and forecasting.

Research interests

  • Time series econometrics
  • Forecasting
  • Agent-based macroeconomic modeling
  • Big Data integration in economic research

Project topics

Recurring themes across 40 wiiw research projects (2005–2028), ordered by how often they appear.

  • International trade
  • Macroeconomic forecasting & scenarios
  • Western Balkans & EU enlargement
  • CESEE & transition economies
  • Global value chains
  • Labour markets
  • Econometric modelling
  • Productivity & growth accounting
  • Demographic change & skills
  • Green transition & climate policy
  • Trade policy & non-tariff measures
  • Competitiveness
  • EU cohesion policy & budget
  • Foreign direct investment
  • Input–output analysis
  • Interactive dashboards & data tools
  • Urban & regional economics
  • Digitalisation & ICT

Experience

  • Since 2017Statistician / Data Scientist, The Vienna Institute for International Economic Studies (wiiw)
  • May–Jun 2016Research Assistant, Vienna Center for Experimental Economics, University of Vienna
  • Jan 2012Project Staff / Student Assistant, Institute for Advanced Studies (IHS)
  • May–Jun 2011Project Staff / Student Assistant, Institute for Advanced Studies (IHS)
  • 2009–2016Personal Assistant, WAG
  • Feb–Apr 2007Service Technician, Baumgartner Bürokommunikationstechnik
  • 2004–2005Database Administrator, Internetreisen

Education

  • Since 2016MSc Statistics, University of Vienna
  • Since 2013MSc Economics, University of Vienna
  • BSc Economics, University of Vienna
  • Software Engineering, HTL Donaustadt

Civilian service

  • 2007–2008Paramedic, Arbeiter-Samariter-Bund

Also into

  • Good Coffee
  • Cooking
  • European Football
  • Bouldering
  • Snowboarding
  • Surfing
  • Photography