Project detail
High-Value Leads with PyMC
Bayesian model for prioritizing leads by conversion probability and commercial response.
Highlights
- Lead scoring by conversion probability
- Priority based on interaction and response
- Clear, stable manual API contract
- Useful for commercial teams
No public repository or demo link is published for this project yet.
Architecture
FastAPI API backed by a PyMC prioritization model with a Flutter app for viewing scores and distribution
Challenges
- Separating real signals from commercial noise
- Making scores interpretable for sales teams
- Maintaining backend-frontend synchronization
Outcome
A more consistent approach to focusing efforts on higher-value leads
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 efforts on opportunities with greater potential.