Esat Gjini
Business & Economics at City, University of London
Corporate finance analyst, Business & Economics at City, University of London. Developed AI extensions using logistic regression and random forest to enhance stock return predictions. Conducted a comprehensive review on factors influencing M&A profitability, focusing on managerial and ESG aspects.