Christina Andersson

Prof. Dr. Christina Andersson
Frankfurt University of Applied Sciences

After finishing her master's degree at the University of Linköping (Sweden), Christina Andersson started her PhD studies in mathematical statistics in Kaiserslautern. The topic for her PhD was "Data Mining with Support Vector Machines". After a couple of years as a trainer at SAS, Christina left for a professorship at Frankfurt University of Applied Sciences. As a statistics expert, Christina Andersson teaches courses in statistics and data mining and she developed the course "Advanced Analytical Methods Using SAS Enterprise Miner".

Goutam Chakraborty

Dr. Goutam Chakraborty
Professor of Marketing, Oklahoma State University

Dr. Goutam Chakraborty, PhD, is a professor of marketing at Oklahoma State University, where he has taught data mining and CRM applications, advanced data mining, database marketing, new product development, marketing research, digital business strategy, Web business strategy, electronic commerce, and interactive marketing and product and pricing management for the past 20 years.

Andreas Hilbert

Prof. Dr. Andreas Hilbert
Full Professor and Chair of Business Information Systems, Technische Universität Dresden

Andreas Hilbert got his PhD in 1998 at the Department of Mathematical Methods in Economics from the University of Augsburg. In 2003 he became a professor in Business Administration and in 2004 he became Chair of Business Information Systems and Business Intelligence at Technische Universität Dresden. Since then, Prof. Hilbert is an active researcher, trainer and consultant in the areas of market research, statistical data analysis, data mining, and business analytics. He is also Chairman of the Business Intelligence Research Association in Dresden and a board member of the Section of Business Intelligence of the German Society for Computer Science.

Speaker Hoffmeister

Sebastian Hoffmeister
Senior Statistical Consultant and Analytics Trainer, STATCON

Sebastian Hoffmeister is trainer and senior statistical consultant for STATCON. He holds a masters degree in Statistics from Ludwig Maximilians University in Munich. He is an expert in machine learning and multivariate analysis, especially using cluster algorithms. He also focuses on econometrics and forecasting methods. At STATCON he runs trainings and interactive webinars for scientists and managers in financial and insurance business as well as in the life science area and design of experiments.

Speaker Mihai

Dr. Mihai Paunescu
Senior Analytics Consultant, SAS Austria

During the last 6 years Dr. Mihai Paunescu has supported SAS projects in the field of Advanced Analytics with a focus on data mining, predictive modelling and forecasting in the banking, insurance, trading, industry and logistics environment as well as for the public administration. At varying functional context his methodical focus always remains on the analysis of data for the creation of statistical forecast models. So for example he developed models for the prediction of credit losses in the credit risk area. In the public sector his analyses are used for fraud detection at wage tax evasion. An airport operator prepares his daily estimation of passenger volumes on board every plane using his models.

Dr. Torsten Scholz

Dr. Torsten Scholz
Analytics Trainer, SAS Germany

Dr. Torsten Scholz is a course instructor at SAS, specialized in statistics and data mining. He received his PhD in Statistics from the University of Munich. Prior to joining SAS in 2013, he worked at an insurance company where he built predictive models for churn prevention and the calculation of customer lifetime values.

Dr. Gerhard Svolba

Dr. Gerhard Svolba
Principal Solutions Architect, SAS Austria

Dr. Gerhard Svolba is a senior solutions architect and analytic expert at SAS Institute Inc. in Austria where he specializes in analytics in different business and research domains. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across various industries. He is the author of "Data Preparation for Analytics Using SAS®" and "Data Quality for Analytics using SAS®" and teaches a SAS training course called “Building Analytic Data Marts.”

Speaker Verbraken

Dr. Thomas Verbraken
CFA, KU Leuven

Dr. Thomas Verbraken received his PhD in applied economics at KU Leuven, in Belgium. As a member of professor Bart Baesens’ research team, he has done research on predictive analytics. More specifi cally, he has worked on customer churn prediction, profi t-based classifi cation performance measurement, and classification  in network environments. He has published his research findings in well-known international journals. He is also a CFA charter holder, and currently works in the fi nancial industry in a risk methodology research team.

Veronique Van Vlasselaer

Véronique Van Vlasselaer
PhD Researcher, KU Leuven

Véronique Van Vlasselaer graduated magna cum laude with a master´s in information systems engineering at the faculty of Business and Economics, KU Leuven (Belgium). For her master´s thesis topic “ Mining Data on Twitter”, she received the best thesis award from the faculty’s student branch. In October 2012, Véronique Van Vlasselaer started as PhD researcher with Professor Bart Baesens at the Department of Decision Sciences and Information Management. Her main research topics include social network analysis, fraud detection and net lift modeling.

Experte Thomas Wende

Thomas Wende
Senior Technical Training Consultant, SAS Germany

Thomas Wende joined SAS in 2006 as a technical trainer. He is a specialist in SAS Business Analytics and SAS Visual Analytics. Tom was the first trainer to teach visual analytics courses in Germany and he also is one of the few SAS Certified Visual Analytics Technical Specialists. He is married with two children and when he is not leading training sessions at SAS, he plays the bass in a band and trains self-defense combat (Krav Maga).


SAS Training Center Heidelberg
In der Neckarhelle 162
D-69118 Heidelberg
Germany Download travel information (PDF)

SAS Office Vienna
Mariahilfer Straße 116
A-1070 Wien


More information needed?

Tel: +40 6221 415 300

Back to Top