Emre Erim

During my graduation internship at Forward Football I worked on a machine learning model for the improvement of youth football. The goal is to develop a model that predicts if an interception leads to a goal scoring opportunity. In order to achieve this were multiple aspects of the data science lifecycle necessary. During the data Engineering phase I worked on the modules for data ingestion and processing. These modules allowed to make the data usable. Data analytics played a role for understanding the data. At the end was the machine learning phase, during this fase I developed the model. The project was made with Python, some of the used libraries were: Pandas, Scikit-Learn, Plotly and Numpy.

During my internship at the Digital Society school I worked on a chatbot. This was in collaboration with the Johan Cruijff ArenA and AFC Ajax. The main objective of the chatbot was to efficiently answers the frequently asked questions. Beside this it was important to enhance the fan experience of the AJAX supporters. Microsoft Azure was used for the development.