We have experiences in builting predictive models for applications in risk management, healthcare, marketing and retailing. Some of our prediction projects include

  • Default risk prediction of P2P loans
  • Sepsis prediction
  • Freight shipping cost prediction
  • Marketing campaign response rate prediction
  • Churn rate prediction
  • Revenue forecast

We primarily use R and AWS to develop predictive models. Our favoriate tools include caret, mlr, XGBoost, and MXNet.