Professional Summary

Lifelong learner and data enthusiast with over 8 years of experience as a Data Scientist in the automotive, fashion, and marketing sectors. Proven expertise in machine learning, predictive maintenance, and scalable software development. Currently pursuing parallel degrees in Law and Economics to explore the intersection of these fields with data science. Passionate about leveraging LLMs for legal and economic analysis and use-cases.

Professional Experience

Freelance Data Scientist

Diverse Companies • Berlin/Bremen, Germany

Aug 2018 – Present
  • Consulting and training in automotive (predictive maintenance) and e-commerce sectors
  • Conducted one-week 'Applied Machine Learning' training sessions for Audi AG
  • Teaching university classes and providing academic support in interdisciplinary programs

Data Scientist Trainer

Data Science Retreat • Berlin, Germany

Jul 2016 – Dec 2018
  • Taught advanced courses in Machine Learning and streaming analytics platforms
  • Provided consulting services for external corporate partners
  • Mentored over 50 data science participants through their capstone projects

Research Associate

Universität Potsdam • Potsdam, Germany

Aug 2015 – Jul 2017
  • Conducted research in Machine Learning with focus on game theory applications
  • Led malware detection project over HTTPS with Cisco Systems, designing scalable Apache Spark ML pipeline for terabyte-scale network data, reducing analysis time from days to hours
  • Taught 'Intelligent Data Analysis 1 & 2', migrating curriculum from Matlab to Python and introducing Docker-based Jupyter Notebooks

Senior Data Scientist

New Yorker GmbH & Co. KG • Braunschweig/Berlin, Germany

  • Improved sales forecast accuracy by approximately 15% using XGBoost-based model, reducing overstock and improving capital allocation
  • Engineered structured data preparation pipeline using Airflow and Parquet on Hadoop cluster
  • Utilized entropy-based methods for feature selection from complex ERP database
  • Mentored and supervised two junior data scientists

Lead Developer (Core Solution/Backend)

Cassantec (now ABB) • Berlin/Zürich

  • Led full-stack project automating and scaling predictive maintenance solution from Excel proof-of-concept to full application in three months
  • Worked with Scala, Bayesian statistics, and Java
  • Managed nearshoring team of four, introducing agile processes and Git

Past Collaborations

  • Pixelpark (Data Scientist): Developed Java-based web applications.
  • Acrolinx (Software Engineer: Data & Reporting): Contributed to NLP solutions for content optimization.
  • FZI (Research Assistant): Researched semantic web technologies.
  • Freie Universität Berlin (Tutor): Taught introductory programming courses.

Education

Master Business Information Systems

FernUniversität in Hagen

M.Sc. Wirtschaftsinformatik

Starting – expected to complete in 2026/27

Oct 2025

Bachelor in Economics

FernUniversität in Hagen

B.Sc. Wirtschaftswissenschaften

In Progress (Current GPA: 1.3) • Writing Bachelor Thesis

Oct 2022 – End of 2025
📊 View Detail
Core Modules (100 ECTS)
Mikroökonomik 1.0
Internes Rechnungswesen 1.0
Einführung Wirtschaftswissenschaft 1.3
Wirtschaftsmathematik & Statistik 1.3
Investition und Finanzierung 1.7
Unternehmensführung 1.7
Externes Rechnungswesen 2.3
Makroökonomik 2.3
Einführung Wirtschaftsinformatik 2.7
Privat- und Wirtschaftsrecht 3.3
Elective Modules (60+20 ECTS)
Markt und Staat 1.0
Geldtheorie und Geldpolitik 1.0
Spieltheorie 1.0
Wahlpflichtseminar (Umweltökonomik) 📄
1.0
Devisenmärkte & Wirtschaftskrisen 1.7
Finanzwirtschaft 1.7
Knowledge Management 1.0
Innovationscontrolling 1.3
Bachelor Thesis (20 ECTS)
Pflichtseminar (Inflationserwartungen) 📄
1.3
Bachelor Thesis ?
Extra
Öffentliche Ausgaben 1.0

Law Studies

FernUniversität in Hagen

Erste Juristische Prüfung (EJP) aka Staatsexamen; LL.B.

In Progress

Oct 2020 – Present
⚖️ View Requirements (§ 7 I JAG NRW)
1. Study Time ✓
2. Zwischenprüfung
Öffentliches Recht (Public Law) Passed
Zivilrecht (Civil Law) Admitted
Strafrecht (Criminal Law) Admitted
3. Foreign Language Legal Course ✓
Public International Law 13 Points
4. Praktische Studienzeit (Practical Study Period)
Rechtspflege (Legal Practice) To be completed
Verwaltungspraktikum (Administrative) To be completed
5. Leistungsnachweise (Performance Records)
Hausarbeiten (Take-home) Completed
Präsenzarbeiten (Supervised) 4/5

Master Computer Science

Freie Universität Berlin

Diplom-Informatiker

Completed (German GPA: 1.5, top 10%) • Specializations: IT Security, Algorithms

2014

Bachelor Mathematics

Freie Universität Berlin

B.Sc. Mathematik

Completed (German GPA: 1.1, top 1%) • Specializations: Discrete Mathematics, Optimization, Algebra

2012

Bachelor Computer Science

Karlsruher Institut für Technologie (KIT)

Vordiplom Informatik

Completed (German Core GPA: 1.2) • Minor: Physics

2008

High School Diploma

Schulzentrum Carl von Ossietzky, Bremerhaven

Allgemeine Hochschulreife (Abitur)

Completed (German GPA: 1.3) • Major subjects: Mathematics, Computer Science

2006

Technical Skills

Programming Languages

Python (Expert) SQL (Expert) Java (Proficient) Scala (Proficient) R (Familiar)

Data & Machine Learning

scikit-learn XGBoost Apache Spark ETL Time Series Analysis Predictive Analytics

Development & Operations

Git Docker Linux/Shell Airflow Jenkins CI/CD

Cloud Platforms

Google Cloud Platform AWS (S3, EC2)

Languages

German Native
English Fluent
Spanish Basic

Featured Projects

leveling-up-jupyter

Leveling up your Jupyter notebook skills.

⭐ 78 stars • 🍴 32 forks • Jupyter Notebook

cookiecutter-kaggle

A cookiecutter-based project template for starting Kaggle projects with Python.

⭐ 16 stars • 🍴 4 forks • Python

leveling-up-viz-story

Material for my workshop at PyData Berlin 2018.

⭐ 14 stars • 🍴 3 forks • Jupyter Notebook

Publications & Talks

  • Research Paper: "Malware Detection by HTTPS Traffic Analysis" (2018)
  • Talk: "Leveling up your storytelling and visualization skills" - PyData Berlin (2018)
  • Tutorial: "Leveling up your Jupyter notebook skills" (2017)
  • Talk: "Doing Statistics and Machine Learning wrong in the Big Data age" (2016)
  • Talk with Tutorial: "Starting Data Science with Kaggle" (2015)
  • Talk: "Limits and Ethics of Data Science" (2014)