AI Engineer for Ad Performance Optimization

This AI engineer specializes in optimizing digital ad performance using machine learning and advanced analytics. With expertise in AI-driven attribution models, audience segmentation, and real-time bidding strategies, they help businesses maximize their advertising ROI. By leveraging deep learning and predictive modeling, they enhance ad targeting, reduce customer acquisition costs, and boost overall campaign effectiveness.

• AI-Powered Ad Attribution Model – Developed a machine learning system to track multi-touch attribution, increasing ad ROI by 35% for a leading e-commerce brand.
  
  Real-Time Bidding Optimization – Created an AI algorithm that dynamically adjusted ad spend in real-time, reducing CPA (Cost Per Acquisition) by 20%.
  
  Automated Ad Copy Testing – Built an NLP-based system to generate and test ad variations automatically, improving conversion rates by 18%.
  
  Predictive Audience Targeting – Designed a deep learning model to predict high-value customer segments, improving ad engagement rates by 25%.
  
  Cross-Platform Ad Performance Dashboard – Developed an interactive dashboard integrating data from Google, Facebook, and LinkedIn ads, providing actionable insights in real-time.