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.
David is currently studying in the Master of Business Administration at the Humboldt University in Berlin. His main focus is on Business Analytics and Data Science. As a working student, he has been supporting INWT since 2017 at the interface between statistical and business management tasks.
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 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.
Matthäus specialized in probabilistic machine learning as part of his mathematics and statistics studies. Afterwards, he drove the fields of machine learning and artificial intelligence in larger companies as part of R&D projects. At INWT, Matthäus builds the bridge to ML & KI and represents the Python fans.
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 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 holds masters’ degrees in psychology and statistics. Her master’s thesis in 2016 involved forecasting the occupancy figures for a leading hotel chain. In addition to her knowledge of predictive analytics, she brings to INWT expertise in psychological diagnostics and questionnaire construction.
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.
Data analytics was already part of Verena’s skill set during her studies of political and administrative science and statistics. Since earning her degree in 2014 Verena has been applying her experience and expertise in training and data science to her work at INWT. Verena is also INWT’s internal data protection officer.
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 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.
Julia earned her doctorate in quantitative economics at the Freie Universität Berlin. Working in research and consulting institutes in the USA, Latin America and Germany, she has extensive experience in the analysis, evaluation, monitoring and communication of data-driven innovation processes. At INWT, she forms the interface between Data Science and the customer side in the area of Data Strategy.
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 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 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.