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

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.

Challenge Pharmaceutical companies possess vast amounts of data, yet often there are challenges to leverage it effectively in their advertising campaigns for drugs. Campaign decisions by  advertising companies are primarily made based on prior experiences and intuition rather than data-driven insights. The challenge lies in harnessing data about doctors’ historical engagement, demographics, and affinity to […]