Meet the Team
  • INWT
  • INWT Team - concentrated data science expertise
Martin Badicke

Martin studied sinology and statistics at the Freie Universität Berlin and worked as a freelance statistics consultant until 2010. He is co-founder of INWT and specializes in business intelligence, reporting, data warehousing, and database systems.  


Jonathan Bob

Jonathan has worked as consultant since 2008. He joined INWT as a data scientist in 2012 and supports the predictive analytics team. His work focuses on data wrangling and process automation. He can solve the Rubik's cube in 16.5 seconds.

Anne Bohm

Anne is a working student at INWT. She is about to graduate from the Master of European Studies at the Viadrina European University. In addition to her studies Anne worked at the Social Science Center Berlin (WZB) and at the German Aerospace Center (DLR). At INWT, Anne takes care of the topics of controlling and project management.

Sebastian Cattes

Sebastian completed his bachelor and master studies in economics at the Freie Universität Berlin with an emphasis on time series eco­nometrics and predictive analytics. Since 2018 he is a data scientist at INWT working on time series model­ing and soft­ware develop­ment with R and Python.

Amit Ghosh

Amit has 13 years’ experience as a data analytics consultant. After earning his Ph.D. with an emphasis on robust statistics, he built up and headed the statistical consulting unit at the Freie Universität Berlin. Amit is co-founder and managing director of INWT.

Marcus Groß

Marcus earned bachelor’s and master’s degrees in statistics from the University of Munich and the Freie Universität Berlin, respectively. In 2016 he completed his Ph.D. studies on spatial measurement error modeling. Marcus has several years’ experience consulting on and managing projects in diverse fields. He is an expert in predictive analytics and Bayesian statistics.

Mira Céline Klein

Mira’s work at INWT focuses on predictive analytics, data quality, automated reporting and best practices in coding. She holds masters’ degrees in statistics and psychology, thus she brings in her expertise in psychological diagnostics and questionnaire design. Mira is the coordinator of INWT's data science trainings.

Andreas Neudecker

Andreas is a studied mathematician. He already worked as a research assistant at the Psychological Institute of the University of Jena. At INWT Andreas is involved in visualizing data through dynamic dashboards and automating the computation of complex models. As a trainer, he teaches the application of statistical methods and their implementation in R.

Antonia Runge

Antonia studied mathematics with a specialization in statistics. For her thesis project at Biotronik she modeled the life cycle of systems. As a research assistant in Geophysics she investigated the elicitation of prior knowledge for seismic hazard analysis. Antonia’s work at INWT focuses on predictive analytics and data mining.

Marina Runge

Marina gained experience in statistical consulting and teaching while earning her degree in mathematics and statistics. Since 2014 she has been working at INWT in the field of data science. Marina’s work focuses on predictive analytics, online marketing, and training.

Sarah Wagner

Sarah studied economics with a quantitative emphasis at the Freie Universität Berlin. Her bachelor’s thesis examined fraud detection processes at a large online retailer. Sarah joined INWT in 2014 and works mainly on projects in the field of online marketing.

Steffen Wagner

Steffen is co-founder of INWT. He specializes in predictive analytics, online marketing, and customer relationship management. He holds a Ph.D. in physics and gives insights into his data science work as a lecturer in the joint master’s program in statistics offered by a consortium of Berlin universities.

Sebastian Warnholz

Sebastian supports the predictive analytics team and works at the interface between software development and data science. He holds a Ph.D. in statistics and is a consultant and instructor at INWT with many years of teaching and business experience.