Lars Heppert

Leading the global Data Science initiative and established the German Data Science Competence Center with 20 Data Scientists in Germany and local teams in USA, China and Singapur - directly reporting to the Chief Digital Officer and the board. Projects where ranging from production (predictive maintenance), process optimization (supply chain management) to forecasting (demands & sales). Adaption of CRISP-DM (Cross Industry Standard Process for Data Mining) to Schaeffler AG.

Building predicitve models in the areas: system behaviour modelling (traffic lights, driving behaviour, predictive maintenance...), map matching, dynamic routing, detection of advertising in radio streams and for the swarm functions platform for vehicle swarms sending telemetry data (road condition mapping, pre-adaptive damper control). Main technologies used: Apache Spark, Apache Storm, Kafka, Cassandra, HDFS, Hadoop, Hive, Tableau.

Individual software solutions regarding Business Intelligence, Logistics/Supply Chain Management and Accounting. Focussing on predictive analytics based on the smack stack (Spark, Mesos, Akka, Cassandra, Kafka). Preferred technologies are KNIME, WEKA and R/Python. For high frequency and complex stream processing C++/Boost or Scala/Akka. For specific tasks we provide bot technologies to automate processes in ways similar to multi-agent-systems but build on common available interfaces.

MMI System Architecture

Mathematical Modelling and Simulation, Embedded Mobile Systems Engineering, Cognitive Systems

Ingolstadt