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.

Improving data collection, storage, and reporting using tools like Segment, BigQuery, and Looker, allowing for comprehensive and advanced insights for the e-learning platform.

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