Biography

I am a professor of Data Science at the Münster School of Business (MSB) at FH Münster - University of Applied Sciences. Also, I on the board of the Institute for Process Management and Digital Transformation (IPD) at FH Münster. My research interests include applied Data Science and Machine Learning, Explainable AI and Mathematical Statistics. I received my PhD in Statistics from TU Dortmund University where my supervisor was Prof. Dr. Walter Krämer.

During my time at McKinsey & Company’s Düsseldorf Office – first with the Advanced Analytics team and later as Expert and Project Manager in the Marketing & Sales Practice – I supported clients across the globe building data-driven solutions for their most pressing business problems and enabling analytics transformations.

Today I continue to advise organizations and build data-driven business models.

Interests

  • Data Science
  • Artificial Intelligence
  • Business Analytics

Education

  • PhD in Statistics, 2011

    TU Dortmund University

  • Diploma in Statistics, 2008

    TU Dortmund University

Experience

 
 
 
 
 

Co-Founder

TradeLink

Jan 2020 – Present München
Lieferabstimmung Ende zu Ende gedacht.
 
 
 
 
 

Board Member

IPD Institute for Process Management and Digital Transformation

Dec 2019 – Present Münster
 
 
 
 
 

Co-Founder

SCALEWORK

Jan 2019 – Present Munich, Germany
Scaling with Data Science.
 
 
 
 
 

Advisor

hawk:AI

Jun 2018 – Dec 2019 Munich, Germany
Ending financial crime.
 
 
 
 
 

Professor

FH Münster - University of Applied Sciences

Mar 2018 – Present Münster, Germany
Teaching Math, Statistics, Computer Science and Data Science.
 
 
 
 
 

Expert and Project Manager for Marketing Analytics

McKinsey & Company, Inc.

May 2011 – Feb 2018 Düsseldorf, Germany
 
 
 
 
 

Research and Teaching Assistant, PhD Student

TU Dortmund University, Department of Statistics

Jul 2008 – Apr 2011 Dortmund, Germany

Recent & Upcoming Talks

Was ist KI?

Webinarreihe Künstliche Intelligenz

Datenbusiness Podcast, Folge 15

My discussion with Bernard Sonnenschein in his Datenbusiness Podcast

Funktionsweise von Predictive Maintenance - Einblicke in Theorie und Praxis

Innovationsforum PredictiveMaintenance@KMU

Mehrwerte aus Daten

Hub:Satellit Digital Café

Credit Scoring and XAI

Talk at the C/O Data Science - The Data Science Camp

Aus Unternehmensdaten Mehrwert schöpfen

Innovationsimpuls Data Science

Transparency of Machine Learning Models in Credit Scoring

Talk at the Credit Scoring and Credit Control Conference XVI, 28–30 August 2019.

Freund oder Feind? Künstliche Intelligenz für den Mittelstand

wfc-InnovationsIMPULS Kreis Coesfeld

Künstliche Intelligenz - Chancen und Risiken für Unternehmen

Ringvorlesung “New Work” des IPD