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. Created a comprehensive report recommending portfolio allocations based on quantitative analysis.