Markus Grüneis

• Data analysis and development of machine learning pipelines using Python. • Development of software modules for connection of sensor data. • Analysis of cable monitoring data for innovative solutions and visualization and communication of results. • Development of new concepts for smart systems in the photovoltaic environment. • Analysis and evaluation of new technologies, solutions, and start-ups for internal digitization.

Data Analytics - Logistikkosten / Conception and development of innovative solutions in the field of logistics cost controlling. Worked with subject matter experts to improve the accuracy and usability of cost forecasts by machine learning. Use of univariant and multivariant forecasting models, such as ARIMA, as well as application of machine learning algorithms and differentiation from each other Technologies used: SPSS, One Data, Knime, Python, R Shiny

Data Analytics, IT-Management