Advisory Presales Solutions Architect, SAS
Gerhard Svolba is involved in numerous analytic and data science projects in different business and research domains, including demand forecasting, analytical CRM, risk modeling, fraud prediction and production quality. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across industries. He is the author of the SAS Press books Data Preparation for Analytics Using SAS, Data Quality for Analytics Using SAS and Applying Data Science: Business Case Studies Using SAS. As a part-time lecturer, Svolba teaches data science methods at the University of Vienna, the Medical University of Vienna and for business schools.