Built a new Market Modelling function to generate insights based on hard data for the pharmaceutical CDMO market, through data science and machine learning forecasting models.
Worked towards fostering and strengthening the analytical culture in middle and top management, linking with business strategy: thinking in ranges, dealing with uncertainty, understanding data biases...
Main products developed include:
• An advanced market forecasting model using machine learning methods to predict drug clinical advancement, now fully integrated in the strategic process of over 10 Business Units
• A management cockpit to easily assess the clinical journey of any pharma drug, or any modality segment
• A live tool to monitor drug advancement dynamics, bringing insight on the market never covered before and challenging existing approaches
• A tool to simulate a drug portfolio’s clinical transformation over time, used to support many development business cases
• A sales scoring tool to rank and filter the best prospects drugs to acquire based on their long-term potential
• A newsletter to promote analytical culture and knowledge, followed by ~200 managers across the company, with outstanding feedback
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