GPA: 30.0 (Summa Cum Laude)

Thesis: 

• Development of novel algorithm P-BAAL, by applying adapter-based active learning to low resource, domain-specific corpus

Projects:

• Identification of causal drivers of hearing aids sales – in collaboration with Amplifon
• Customer segmentation of retail purchase data for insurance product offering – in collaboration with H-Farm
• Quality assessment of different fake reviews generating models (RNN, LSTM) through sentiment classification tested on real reviews

GPA: 4.0 (Summa Cum Laude)

Thesis:

• Identification of bond premium offered on "green" bonds as compared to the more conventional bonds

Exchange Program:

• University of Auckland, New Zealand
• Top 1% of the class

Relevant Courses & Activities:

• Mathematics, Statistics I, Statistics II, Econometrics, Game Theory
• Mentor of the first year students