Customer Background
A local government agency responsible for maintaining law and order, ensuring public
safety, and preventing criminal activities. With increasing crime rates and limited
resources, DPS aims to leverage data analytics to optimize resource allocation,
enhance crime prevention strategies, and improve overall community well-being.
Objective
The primary goal of this data analytics project is to develop a predictive policing
model that assists law enforcement agencies in identifying high-risk areas, allocating
patrols efficiently, and preventing crimes before they occur.
Approach
- Data Collection and Integration
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Predictive Modeling
- Evaluation and Feedback Loop
Outcomes
- Reduced response times: Officers arrive faster at crime scenes.
- Targeted resource allocation: Patrols focus on high-risk areas.
- Crime prevention: Proactive measures lead to fewer incidents.
- Enhanced community trust: Transparent and data-driven policing.