Churn prediction model for business customers that identified potential churners with higher precision than the client’s existing model, achieving a 15-20% improvement in accuracy.

Real-time retail insights achieved through computer vision on edge devices, enabling person and face detection, demographic profiling, and pose estimation.

Helping the fintech startup better predict their cash flow, using advanced models that improved purchase accuracy and reduced forecasting errors.