Curriculum Vitae

Professional Experience

May 2021 – today

  • Defined and operationalized IT strategies
  • Built new digital and analytics units
  • Managed large IT programs & projects
  • Modernized data and system architectures
  • Implemented innovative data & analytics use cases

Jul 2020 – Apr 2021

  • Developed a clustering-based method for the early detection of field quality problems
  • Developed an interpretability approach for predictions from “black box” ML models
  • Implemented a configurable data pipeline for processing high-dimensional mixed-type quality data
  • Analyzed quality data using latest machine learning methods (e.g., HDBSCAN, BERT)
  • Developed a software for interactive exploration of high-dimensional data

Apr 2019 – Aug 2019

  • Developed an automated opportunity scoring method for a German SME
  • Developed a procedure for entity extraction from reports for a British SME
  • Created training material and conducted workshops for two big tech players

Oct 2017 – Mar 2018

  • Supported in the buildup of a cross-sectional digital department in a bank
  • Designed an agile process model for the new digital department
  • Evaluated markets and explored use cases for an NLP startup

Oct 2016 – Mar 2019

  • Led the five-headed developer team of the learning motivation app StudyNow
  • Extended a web crawler for collecting data for scientific studies
  • Planned and conducted a series of workshops as part of a mentoring program for freshmen
  • Extended a software for tracking social media trends and news headlines for an SME

Education

May 2023 – today

  • Research Topic: Strategic Decision-Making with Large Language Models (LLMs)
  • Research Group Social Computing, Prof. Georg Groh
  • Papers written: See my research

Apr 2018 – Dec 2020

  • Grade: GPA 4.0 / 4.0 (best in cohort)
  • Focus: Machine Learning, Statistics, Data Science
  • Thesis: Finding and Describing Clusters of Vehicle Quality Issues in Mixed-Type High-Dimensional Data (in cooperation with BMW)

Sep 2019 – Dec 2019

  • Grade: GPA 4.30 / 4.30 (best in cohort)
  • Focus: Strategic Management & International Negotiations
  • Papers written: How Does Blockchain Technology Impact Business Models? | Tesla Moving Forward | The European Migrant Crisis and the EU-Turkey Agreement

Oct 2014 – Aug 2017

  • Grade: GPA 3.7 / 4.0 (best in cohort)
  • Focus: Software Engineering, Decision Support & Operations Research
  • Thesis: Simulation of storage and retrieval strategies for stack-based warehouse systems (later turned into a paper)

Oct 2014 – Aug 2017

  • Grade: 1.0 (best in cohort)
  • Advanced courses: Mathematics, Physics
  • Extracurriculars: Conducted a large-scale research survey among 900+ scholars (results published as a book), enrolled as a junior student at the University of Bielefeld in Theoretical Physics

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