Company: Deloitte provides audit, risk advisory, tax, financial advisory, and consulting services to public and private clients spanning multiple industries. Deloitte’s approximately 286,000 professionals are committed to making an impact that matters.
Project „Explainable AI“:
The goal of this project is to assess the interpretability of machine learning techniques in the context of time series forecasts. Based on real sales data, time series patterns need to be analyzed in order to achieve adequate forecasts. Based on both statistical and machine learning approaches, competing forecasting models will be investigated. As a result, the applied approaches will be compared with respect to accuracy, complexity and interpretability.
Additionally, the results will be visualized and current techniques of interpretable Machine Learning will be discussed. You will work together with experienced data scientists and you will learn in this project how to visualize and to communicate results within a heterogeneous team. Furthermore, you will get deep insights into the challenges that practitioners are facing, especially when the achieved solutions to such real-world problems need to be implemented into applied risk management processes.