Andreas Renner

Developing data driven business models, consulting clients in the fields of applied AI, Data Science and Advanced Analytics, implementing AI protoptypes, defining Use Cases, preparing workshops & seminars.

Providing analytical solutions to business goals, creating data driven insights to solve business decisions. Design of a MaaS-solution in the field of delivering media content OTT via mobile networks.

Developing data-centric solutions inside ZF's Friedrichshafen based 'Digital Innovation Lab' for lifetime prediction, optimization and predictive maintenance solutions on the automotive power train combining data from engineering, production and automotive electronics.

Probabilistic Design and Analysis at Siemens Large Gas Turbines TI-TEC in Mülheim. Engaged in the technological aspects on the boundaries of engineering, data science and statistics. Development of tools, models & methods to detect outliers in multivariate sensor network operational data. Investigation of methods to measure torques acting on compressor variable guiding vanes. Multivariate analysis of global fleet data.

Development and implementation of algorithms to analyze socio-economic data. Building up an integrated data analytics solution to analyze and predict economic environments.

High level advise, development & implementation of data science solutions. Discrete Event Simulation Models of production facilities. Development and implementation of control strategies for transportation robots. Stochastic simulation of factory logistics and resources availability. Just-in-time production network control. Autonomous & decentralized factory control. Development of non-linear surrogate models for discrete production systems.

Scientific research on using methods from statistical physics and nonlinear dynamics to analyze, model & control production facilities and logistic networks.