This internship forged crucial aspects for identifying unusual patterns or behaviors in the data generated by IoT devices. Anomaly detection helped in detecting potential issues, security threats, or abnormalities that may not be immediately apparent through traditional analytics methods By integrating anomaly detection into your IoT analytics, I coulld proactively identify issues, improve system reliability, and enhance overall security. Keeping in mind that the effectiveness of the anomaly detection system may evolve over time, I continuously monitored and refined the ML model, highlighting this step as essential.