A DATA-DRIVEN APPROACH TO ENHANCE CITIZEN SERVICES AND QUALITY OF LIFE
BUSINESS PROBLEM How can the city of Boston enhance the efficiency and efficacy of its city services, optimize the allocation of its resources, and elevate the overall satisfaction of its residents?
Our Approaches Can we predict the probability of issue resolution when photographic evidence is submitted, while considering the impact of the source and location of the report? How can we leverage seasonality patterns from historical data to make accurate predictions of the duration it takes to close a case?
Model 1 - Logistic Regression and Random Forest
Model 2 - Multiple Regression
Recommendations : Steps to Improve Service Efficiency Identify root cause of delay moving from west to east in Boston Review and improve Property department's working system for faster case closure Implement monitoring for teams struggling with average closure time Study reasons for delay in Dorchester & Roxbury cases and improve resolution time Hire more staff and use special gear for winter season to avoid delays