In modern cars there are lots of ways a user can interact with the car and the systems provided, e. g. advanced driver assistance systems. This leads to a lot of questions regarding the usage of these systems which may influence further development.
In this project, it will be your task to formulate questions which may lead to insights with support of the specialized department and to investigate on those using fleet data. For that purpose you will work on a state-of-the-art platform for Data Analytics based on the SMACK Stack. Your main tool and programming language will be Spark and Scala. This will enable you to illustrate and present the insights you gained by your Data Analytics in order to support further development.
Furthermore this knowledge provides the possibility of predicting future behavior. For that purpose Machine Learning algorithms can be used. The design and development of Machine Learning models to predict a certain user behavior will be one of the main tasks during your internship. Thereby you contribute to the vision of a smart and empathic car.