DATA ANALYTICS & ML

We developed a data-driven analysis system to understand and predict the life cycles of medical drugs in the market. By examining historical datasets, covering launch patterns, adoption curves, peak usage, and decline phases, we identified the key factors that shape how drugs perform over time, specially during the end of their life cycle.

Using machine learning models, the system can forecast future market behavior for new or existing drugs, helping organizations anticipate demand, plan strategies, and make more informed decisions. It turns complex market dynamics into clear insights for the pharmaceutical sector.