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.

Our client is building a new real-estate evaluation system where tax will be calculated based on the property value.

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