Built an AI model that predicts consumers purchasing behavior

Offered a contract by a major brand to build an AI prediction model that tracks and monitors the likelihood of customers purchasing newly released products based on demographic and historical data of previous purchases.

The project completion involved building a machine learning model with statistical analysis that accurately predicts the probability or likelihood of a customer purchasing newly released products based on past historic purchasing patterns with integrated factors such as demographics, sentiment analysis, promotional sales discount and seasonal purchases.