Artificial Intelligence & Machine Learning Intern

Description

• •Led a Click-Through Rate (CTR) prediction project using advanced machine learning techniques to support marketing optimization.
• •Processed and trained models on datasets with 50,000+ records using Python, Scikit-learn, TensorFlow, and PyTorch.
• •Deployed models using Flask and Docker, enabling scalable inference with consistent response times.
• •Improved CTR prediction accuracy beyond baseline models through iterative experimentation.