Developed a comprehensive data analysis system for e-commerce advertisements by scraping data from Facebook Ads Library and implementing predictive models to forecast ad impressions based on various engagement metrics.
Automated extraction of advertisement data from Facebook Ads Library using web scraping techniques
Built machine learning models to predict ad impressions based on engagement metrics like comments, ratings, CPI, and CPC
Analyzed correlation between various factors and advertisement performance for optimization insights
• Enabled data-driven decision making for advertisement optimization
• Provided insights into factors affecting ad performance and engagement
• Delivered actionable recommendations for improving CPI and CPC metrics
• Successfully completed as international freelance project for Danish client