“This page showcases in-house DSS projects that have been developed and are ready for use, providing practical solutions for various decision-making needs.”
This DSS is designed to assess the efficiency of bank branches using key metrics such as the number of transactions, loan volumes, deposit amounts, customer satisfaction, and operational costs. By leveraging DEA methods and machine learning models, the system identifies strengths and weaknesses of each branch and provides actionable improvement suggestions. Technologies used include Python, Django, pandas, scikit-learn, and interactive dashboards for reporting.