I’m currently drafting a report that outlines my findings and implications from thoroughly analyzing the Washington Post’s database on fatal police shootings. This has been an extensive process. So far, my initial data exploration has allowed me to become familiar with the nuances of this rich dataset. I have also cleaned the raw data to prepare it for in-depth statistical analysis using methods like regression modeling and machine learning. My report will include technical details on my analysis approaches and key insights uncovered through hypothesis testing. However, a major focus will be articulating what the findings mean for police training, use-of-force policies, and reform efforts. I aim to translate analytical conclusions into actionable implications. For example, if the data indicates certain demographics or situational factors significantly impact shooting risk, this evidence directly informs policy to enhance training and reduce unnecessary lethal force. I’m looking forward to finalizing impactful recommendations. Overall, I’m eager to complete a report that rigorously investigates this important topic through data-driven models and provides meaningful takeaways for reducing fatal police shootings. My goal is contributing robust evidence to inform policies that improve policing outcomes.