Chronological curriculum vitae.

General Information

Full Name Julian Oliver Dörr
Date of Birth 6th August 1991
Nationality German


  • 2022
    Justus Liebig University Giessen, Gießen, Germany
    • ML, NLP, Economics of Innovation, Industrial Dynamics
    • Thesis title | ‘Essays on the Application of Statistical Learning in Empirical Economic Research’
    • Final grade | magna cum laude (equivalent to an A grade)
  • 2019
    Otto Friedrich University Bamberg, Bamberg, Germany
    • Economics, Statistics and Statistical Programming
    • Thesis title | ‘The Nonlinearity of Crises Machine Learning Approaches to Economic Forecasting’
    • Final grade | 1.0 (equivalent to an A grade)
  • 2016
    Eberhard Karls University Tübingen, Tübingen, Germany
    • Economics, Statistics and Finance
    • Thesis title | ‘Tax Incentives for International Profit Shifting within Multinational Groups - An empirical Analysis’
    • Final grade | 1.1 (equivalent to an A grade)
  • 2014
    Exchange Semester
    Temple University, Philadelphia, USA
    • Final grade | 4.0 (equivalent to an A grade)
  • 2011
    High School Diploma
    Kaufmännische Schule Hechingen, Hechingen, Germany
    • Final grade | 1.0 (equivalent to an A grade)


  • 2022 - present
    Risk Manager and Data Scientist
    BMW Group Financial Services, Munich, Germany
    • Developing statistical models to support decision making in the setting of residual values of used car vehicles
    • Implementing machine learning algorithms to improve the efficiency and accuracy of risk processes
  • 2020 - 2022
    Researcher and Data Scientist
    ZEW – Leibniz Centre for European Economic Research, Mannheim, Germany
    • Application of machine learning methods and natural language processing in economic research
    • Data infrastructure projects (including firm-level microdata and unstructured webdata)
    • Completion of a 120-hours course on deep learning
    • Political consulting projects on e.g. the economic effects of the corona pandemic
  • 2019
    Working Student Data Analytics
    TeamBank AG, Nürnberg, Germany
    • Using machine learning methods to analyze consumer behavior
    • Learning Python programming in a hands-on project (predict customer retention)
    • Learning source code version control using Git
  • 2019
    Internship Stress Testing and Quantitative Analyses
    Federal Reserve Bank, Frankfurt am Main, Germany
    • NLP project of banking related news as automated way to filter public sentiment towards banking sector (sentiment analysis, topic modelling)
  • 2018 - 2019
    Working Student Digital Factory
    Siemens, Erlangen, Germany
    • Full automation of the previously Excel-based CRM management report using R
    • Developing metrics to assess sales opportunities within the digitization-related product portfolio at Siemens
  • 2016 - 2017
    Internship Riskmanagement
    BMW Credit Malaysia, Kuala Lumpur, Malaysia
    • Setting up residual value risk related processes for the launch of a new finance lease product
    • Scorecard performance monitoring and standard risk cost validation in credit risk
  • 2016
    Internship Riskcontrolling
    BMW Group Financial Services, Munich, Germany
    • Validating, analyzing and monitoring risk indicators during the month-closing processes

Honors and Awards

  • 2015
    • Studienstiftung des Deutschen Volkes
  • 2014
    • Baden-Württemberg-Stipendium
    • German-American Fulbright Commission
  • 2013
    • Deutschlandstipendium


  • Python
    • NLP | Hugging Face, SentenceTransformers
    • ML | PyTorch, scikit-learn
    • Data analysis | pandas
    • Data visualization | seaborn
    • Web scraping | BeautifulSoup
  • R
    • ML | mlr
    • Data analysis | dplyr, data.table
    • Data visualization | ggplot
    • Web scraping | rvest
  • BI
    • shiny
    • Power BI
  • Git
  • SQL
  • SAS