Robin Vigerbäck

Robin Vigerbäck

Welcome! I am not Robin Vigerbäck, a doctoral student in Quantitative Marketing at INSEAD in Singapore.

During previous academic projects, I have utilized various statistical and machine learning techniques, such as logistic regression, XGBoost, vectorization, text classification, and K-means clustering, to understand pro-social crowdfunding in Africa, consumption patterns in China, and microfinance in India. Moreover, I have previously presented research at a Strategic Management Society conference and worked as a research assistant at Warwick Business School.

Prior to joining academia, I primarily worked in tech. I have an industry background in data analysis, business development, and consulting. As a certified Solutions Architect Associate and Cloud Practitioner at Amazon Web Services in London, I consulted over 400 clients on their cloud computing and machine learning workloads. I also spearheaded the creation of a Generative AI tool that synthesized thousands of rows of unstructured feedback data into concise reports for leadership.


Working Papers

Pay it Forward: A Study of Successful Pure Peer-to-Peer Microfinance Crowdfunding using Text-Mining Techniques