I am a peer-reviewed machine learning researcher and analytics professional with extensive project experience at a top-tier management consultancy.

Professional experience

Currently, I'm an Analytics lead within the NASDAQ listed company Cimpress focusing on product and pricing. In my prior role within the Customer Analytics group, I ran data mining techniques to identify patterns in the behaviour of more than 50 million customers. Furthermore, I applied machine learning on unstructured text data to extract strong segmentation signals with the aim to improve personalization. The creation of dashboards and running statistical tests to measure and track the performance of marketing activities were also part of my work. Moreover, I coached and trained graduate analysts.

I worked on high-level strategy projects during my time at The Boston Consulting Group as a specialist in the area of data analytics. I performed data analyses and built predictive models for a variety of data sets ranging from pricing, procurement, customer intelligence, or portfolio optimization. Furthermore, I developed analytical tools and prototypes of management information systems. Moreover, I coached and trained junior colleagues.

During my time at the big four audit company PricewaterhouseCoopers, I performed IT and process audits and subsequently advised my clients how to improve their processes and IT systems. Furthermore I performed forensic data analyses in order to identify fraud.

In 2008, I did an internship at cominvest Asset Management in the area of investment fund sales reporting. cominvest was eventually merged by absorption with Allianz Global Investors.

During my time at the University of Muenster, I worked as a student assistant at the Marketing Center Muenster primarily responsible for survey design and implementation, and data pre-processing for several analyses like cluster or conjoint analysis.

Last but not least, I worked eight years as a freelancer developing mostly web based applications (LAMP stack) for clients like ESCP University, LexisNexis Germany etc.


I have a MSc with distinction in Information Systems from the De Montfort University Leicester, UK with a specialization on machine learning.

Prior to that, I achieved a BSc in Information Systems from the University of Muenster, Germany with a focus on business process optimization and knowledge management.

A also spent two terms abroad at the University of Seville as part of the Erasmus programme.

Teaching and talks

Deep Learning for NLP and Text Mining - De Montfort University Leicester (Summer term 2016)
Guest lecture about my research in the area of deep learning in the postgraduate module IMAT5234 Applied Computational Intelligence.

Taming Text with the Elephant - Vistaprint Analytics (December 2015)
A tech talk about the fundamentals of natural language processing and text mining, and how it can be applied at scale with Hadoop.

Pac Man, Neural Networks, and Artificial Intelligence - Vistaprint Analytics (May 2015)
A tech talk showing up current trends on the use of artificial neural networks in computer games and possible business use-cases.


Machine learning

Linear models, decision trees, random forests, k-nearest neighbors, artificial neural networks, k-means clustering, hierarchical clustering, self-organizing maps, bagging, boosting, scikit-learn, Theano, Keras, Matlab


Python, Java, Delphi, PHP, VBA

Data analysis

Descriptive and inferential statistics, hypothesis testing, principal component analysis, bootstrapping, SAS, R, SPSS

Data management

SQL (DDL, DML), relational data modeling, dimensional data modeling, MySQL, MS SQL Server, Redshift

Analytics tools

Tableau Software, MicroStrategy, Tibco Spotfire, Looker


HTML, JavaScript, CSS, LaTeX, SVN, Amazon AWS, Microsoft Azure