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Consultant Data Analytics

MunichRE, Munich, Germany

• Spearhead a PoC focused on automating the extraction of critical information from unstructured policy and claims data, enhancing data accessibility and usability.
• Collaborate closely with business units to design and implement data-driven solutions that significantly improve decision-making processes in underwriting.
• Actively engage with the automation team to develop and deploy Python services on Microsoft Azure, optimizing the data journey for Munich Re's innovative data pooling solution.
• Support the establishment of Databricks as a unified platform for data management, enabling seamless access to pooling databases and leveraging Spark's distributed computing capabilities for enhanced data processing efficiency.

Risk Manager and Data Scientist

BMW Group, 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.

Researcher and Data Scientist

ZEW – Leibniz Centre for European Economic Research, Mannheim, Germany

• Played a key role as a primary contributor to political consulting projects at the federal ministry level, focusing on analyzing the economic effects of the COVID-19 pandemic.
• Demonstrated the immense potential of ML, Natural Language Processing (NLP), and Large Language Models (LLMs) in economic research through multiple highly-regarded peer-reviewed publications.
• Designed, developed, and maintained robust data pipelines, handling diverse datasets such as rectangular financial data and unstructured web data.

Working Student Data Analytics

TeamBank AG, Nürnberg, Germany

• Developed a supervised ML model to predict customer retention for the optimization of call center activity.
• Demonstrated the use of unsupervised ML methods to segment customers into target groups.

Internship Stress Testing and Quantitative Analyses

Federal Reserve Bank, Frankfurt am Main, Germany

• Developed a natural language processing (NLP) solution to automatically filter and analyze banking-related news, providing insights into public sentiment regarding the banking industry.

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.

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.

Internship Riskcontrolling

BMW Group Financial Services, Munich, Germany

• Validating, analyzing and monitoring risk indicators during the month-closing processes.

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)

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)

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)

Exchange Semester

Temple University, Philadelphia, USA

• Final grade | 4.0 (equivalent to an A grade)

High School Diploma

Kaufmännische Schule Hechingen, Hechingen, Germany

• Final grade | 1.0 (equivalent to an A grade)

• Studienstiftung des Deutschen Volkes

• Baden-Württemberg-Stipendium
• German-American Fulbright Commission

• Deutschlandstipendium