Project detail
High-Value Leads with PyMC
Bayesian model for prioritizing leads by conversion probability and sales response.
Highlights
- Lead scoring by conversion
- Priority based on interaction and response
- Clear, stable manual API contract
- Useful for sales teams
No public repository or demo link is published for this project yet.
Architecture
FastAPI API backed by a PyMC prioritization model and a Flutter app to view scores and distribution
Challenges
- Separating real signals from sales noise
- Making scores interpretable for sales
- Maintaining backend-frontend synchronization
Outcome
A more consistent way to focus efforts on leads with higher expected value
Overview
Problem
Not all leads deserve the same effort, and prioritization should rely on better criteria than intuition.
Approach
I modeled conversion probability with PyMC and exposed it through a scoring app.
Outcome
The workflow helps focus sales on opportunities with greater potential.