The existing approach relied on a static Excel workbook that was limited in flexibility, accessibility, and scalability.

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 […]

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.