Machine Learning Automation Projects

Increased lead-to-customer conversion rate from 38% to 50% of an online education company and reduced sales management time by 23% by developing lead segmentation and scoring models based on likelihood of purchase.

Automated the calculation of fees that make each new transaction/customer profitable by implementing a web application that predicts the expected loss based on probability of default, loss given default, and exposure at default models.

Reduced warehouse costs and stock-outs by developing a scalable set of recursive machine learning models that predict the demand in the next 8 days at store-product level based on the data contained in the three-year-history company’s SQL database.