Paula Reece

Former Associate Director, CRM/CLM Optimization Lead at Takeda

Speaker

I’m the person who makes sure healthcare and pharma data behaves before anyone asks it to power dashboards, ML, or AI. With 10+ years in data governance, MDM, data quality, and enterprise data architecture, I’ve built the foundation that helps analytics stay trustworthy in highly regulated environments.Now I’m expanding that toolkit with an MS in Data Science (in progress), applying it through healthcare-focused coursework and portfolio projects in machine learning, predictive modeling, and statistical analysis—especially for early risk detection, patient safety, and clinical decision support .My sweet spot is responsible, explainable AI: balancing strong predictive performance with transparency, validation, and governance so teams can trust the insights—and actually act on them.

Core strengths: Healthcare AI & ML (predictive modeling, risk stratification) • Data Governance & MDM (quality, lineage, compliance) • Healthcare & Pharma Data (clinical, operational, real-world data) • Applied Data Science (Python, SQL, statistics) • Ethical & Explainable AI (interpretability, trust)

Always curious. Always learning. Focused on making data actionable, equitable, and impactful in healthcare.