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Chronological curriculum vitae.
General Information
Full Name | Julian Oliver Dörr |
Date of Birth | 6th August 1991 |
Nationality | German |
Experience
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2024 - present
Consultant Data Analytics
MunichRE, Munich, Germany
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2022 - 2024
Risk Manager and Data Scientist
BMW Group Financial Services, Munich, Germany
- Project lead for the development of a predictive modeling framework aimed at forecasting future remarketing values of used cars to mitigate future remarketing losses
- Developed Python modules that were shipped via AWS SageMaker, enabling users to derive forecasting models by following a time series cross-validation procedure. This harmonized the modeling approach across the company and its subsidiaries
- Created data cleaning and feature engineering pipelines, providing a comprehensive end-to-end solution for transforming raw data into well-calibrated prediction models
- Took the lead in stakeholder management during the roll-out phase of the modeling framework, ensuring effective communication and collaboration with key stakeholders
- Successfully delivered an MVP for a cross-functional chatbot, incorporating a state-of-the-art RAG (Retrieval Augmented Generation) system. The chatbot was designed to enhance communication and collaboration within the business unit
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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
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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
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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)
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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
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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
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2016
Internship Riskcontrolling
BMW Group Financial Services, Munich, Germany
- Validating, analyzing and monitoring risk indicators during the month-closing processes
Education
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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)
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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)
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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)
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2014
Exchange Semester
Temple University, Philadelphia, USA
- Final grade | 4.0 (equivalent to an A grade)
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2011
High School Diploma
Kaufmännische Schule Hechingen, Hechingen, Germany
- Final grade | 1.0 (equivalent to an A grade)
Honors and Awards
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2015
- Studienstiftung des Deutschen Volkes
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2014
- Baden-Württemberg-Stipendium
- German-American Fulbright Commission
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2013
- Deutschlandstipendium
Software
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Python
- Backend development | Django
- NLP | Hugging Face, SentenceTransformers, LangChain
- ML | PyTorch, scikit-learn
- Data analysis | pandas
- Data visualization | seaborn
- Web scraping | scrapy, BeautifulSoup
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R
- ML | mlr
- Data analysis | dplyr, data.table
- Data visualization | ggplot
- Web scraping | rvest
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BI
- shiny
- Power BI
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Software Development
- Git
- Docker
- Azure DevOps
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SQL