In my previous role as an ML Developer Intern at Adzip Technologies, I worked on a project where we used data analytics to optimize a marketing campaign for a motorcycle brand. We focused on metrics such as customer engagement rates, conversion rates, and customer demographics. By analyzing these metrics, we identified that a significant portion of our target audience was more engaged with video content. Based on this insight, we shifted our strategy to include more video-based advertisements and personalized content, which resulted in a noticeable increase in engagement and conversion rates. Additionally, we used sentiment analysis to gauge customer feedback and made adjustments to our messaging to better align with customer preferences. This data-driven approach helped us refine our marketing efforts and achieve better results.