cv
Chronological curriculum vitae.
General Information
Full Name | Julian Oliver Dörr |
Date of Birth | 6th August 1991 |
Nationality | German |
Education
-
2022
Ph.D.
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
M.Sc.
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
B.Sc.
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)
Experience
-
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
Software
-
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