About Soundience

Andreas Kaempf created Soundience to develop and apply leading-edge quantitative models to complex business problems. Since founding Soundience in 2002, Andreas has been involved in diverse projects across a broad range of industries, including media, financial services, pharmaceuticals, telecommunications, and professional services.

Much of this work has been in the field of system dynamics, but he also applies machine learning, social network analysis, optimization, agent-based simulation, and other approaches.

A common feature in much of this work has been custom intelligent dashboards that run over the web, making these solutions easier to use and more insightful, using open-source tools such as Python, R, JavaScript, D3, and Spark.

Experience and education prior to starting Soundience:

A more detailed CV is available here.