Achieving a 15% decrease in carbon footprint and energy consumption costs by creating an optimization algorithm for charging electric vehicles.

Using a machine learning model with image processing and deep learning to classify embryos into groups for better pregnancy success prediction.

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.