Predicting Customer Conversion: A Data-Driven Approach
The following blog post reflects the efforts of my team - Daria Herasymova, Hirak Bhayani, and I - during Duke University's Datathon competition. As Business Analytics graduate students of Duke University’s Fuqua School of Business, we have a plethora of resources to explore & have access to many opportunities to build our data science skills and experience. We were excited to put to good use all that we learned in our classroom sessions conducted by Prof. Alex Belloni at an annual datathon that took place on campus. Organized by Duke Machine Learning, the Duke Datathon was a weekend-long event where teams solved an existent business challenge faced by a marketing technology & consumer engagement company that works with over 60,000 brands across a wide array of industries. The firm predicts customer churn by examining content across 80 billion web pages each day and deriving meaning from words and sentences to determine likely purchase intent through page...