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.  

 

Jan Blechschmidt

Jan studied mathematics and statistics in Marburg and Berlin. Before he came to INWT as a Data Scientist in 2020, he was a research associate at the German Aerospace Center, where he dealt with transport econometrics. At INWT, he mainly works in the area of ​​Predictive Analytics and implements his algorithms as a microservice using Docker and Kubernetes.

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.

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Anne Bohm

After studying Sociology and European Studies at the University of Potsdam and the European University Viadrina, Anne is as advisor responsible for internal corporate strategies, controlling and project management. She is also the data protection coordinator at INWT.

Sebastian Cattes

Sebastian is a Data Scientist at INWT since 2018 and is an expert in modeling time series. He mainly works on projects in the field of Predictive Analytics and is dedicated to software development with Python and R. His focus is on interface programming.

Milan Flach

Milan is a Data Scientist at INWT since 2019. His field of activity includes mainly Data Analytics with R and Julia, and Data Wrangling with SQL. His expertise in data-driven models, clustering and spatio-temporal anomaly / fraud detection was acquired by the studied geo-ecologist while working at the Max Planck Institute for Biogeochemistry.

Michelle Golchert

While completing her master's degree in psychology, Michelle simultaneously acquired skills in software development that she now applies to her work at INWT. As a data scientist, Michelle specializes in supporting projects in the areas of DevOps, CI and automation.

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.

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Andreas Neudecker

Andreas is Solutions Architect at INWT, specializing in automation and deployment with Docker and Jenkins CI. In addition, the studied mathematician has a soft spot for interactive visualizations with D3.js and teaches programming in R as a trainer at INWT.

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.

Guido Schulz

Guido graduated from the Berlin-based "Joint Masters Program of Statistics" and worked for a long time in quantitative urban research. Most recently he worked at the Federal Statistical Office. Guido's passions are teaching and data visualization.

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.

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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. 

Marina Wyss

Marina completed her undergraduate studies at U.C. Berkeley and her Master's degree at the Hertie School, where she focused on statistics, machine learning, and text analysis. Prior to joining INWT in 2019, Marina acquired broad experience in market research and predictive analytics.