Marleen is a Data Analyst I at ABN AMRO Clearing Bank N.V. Her main tasks in her role within the Modelling Team include Data Visualization and Interpretation of Machine Learning / Deep Learning Model (Data Anomaly Detection) -Global Model Support (Correlation Haircut Model & Real Time Risk Model). Tasks as Core Team Member: Innovations Team ABN AMRO Clearing.
How Data Visualization Made our Machine Learning Project a Success
ABN AMRO Clearing Bank works with considerably large amounts of data every day and we design and implement Deep Learning models to approach some of our business cases. One example is, how to find real time anomalies (strange behaviors) in our data by using Unsupervised Anomaly Detection with TensorFlow and Spark. The output is being visualized with Tableau in order to express the anomalies and to make data-driven business decisions.’