Marketing AI Predictor: Data to Conversions
Developed a Machine Learning application to optimize digital marketing campaigns and predict customer conversion behavior.
• Built a regression model to predict campaign conversions using 166K+ campaign records.
• Built a classification model to predict individual user conversion probability using 8K+ user-level records.
• Performed data preprocessing, feature engineering, model training, and evaluation.
• Compared multiple ML algorithms and used Random Forest-based models for prediction.
• Developed and deployed an interactive Streamlit application integrating both models for real-time predictions.