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.

Developing a comprehensive solution powered by sentiment analysis, machine learning algorithms, and trading strategies for better-informed trading decisions.

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