Raymond Klutse

• Analyzed Open Banking data using statistical methods and different data visualisation tools. • Performed customer segmentation using PCA and different clustering algorithms such as KMeans, DBSCAN, etc. • Improved credit risk models using new data sets and algorithms such as logistic regression, random forests etc.

• Performed text data preprocessing and annotation using Spacy and Prodigy. • PerformedfeatureextractiononspeechdatausingMFCCforTensorflow’s VGGish model in Android. • CreatedamodelforsentimentanalysisinFrenchandEnglishusingtransferlear- ning with Facebook AI’s state of the art model (Cross-lingual Language Model Pretraining- XLM) in Pytorch and Twitter datasets.

• Assisted lecturers in their preparation for lectures and school projects. • Assistedstudentsduringdepartmentofficehoursandtheirfinalyearprojects.