Using Python, SQL, and interactive visualizations, I've created a solution that transforms complex trial data into actionable insights.

The dashboard features:

• Intuitive inputs for trial parameters (phase, patient count, duration)
• Real-time success probability predictions using logistic regression
• Visual representations of historical success rates and trends
• Comprehensive analysis of factors influencing trial outcomes

This project demonstrates how data science can accelerate drug development by helping researchers identify promising trial designs before significant resources are committed. It's a perfect example of how predictive analytics can deliver immediate value in the pharmaceutical industry without requiring specialized in-house expertise.

I've leveraged Hex's collaborative features to create a polished, secure solution that can be easily shared with interested parties. The clean interface makes complex statistical concepts accessible to non-technical stakeholders.

If you're interested in learning more or seeing a demo of this tool, please reach out through the contact form on my website.