Project detail
Talent Assignment with PyMC
Bayesian optimization for assigning employees to projects based on skills and requirements.
Highlights
- Matching between skills and projects
- Compatibility matrix and heatmap
- Suggested assignments for HR
- Designed for operational decision-making
No public repository or demo link is published for this project yet.
Architecture
Bayesian compatibility engine exposed through an API and consumed from Flutter to review optimal assignments
Challenges
- Comparing profiles and requirements without losing stability
- Providing a clear, actionable recommendation
- Maintaining consistency between backend and frontend
Outcome
A way to assign available talent more effectively to concrete projects
Overview
Problem
Assigning people to projects is often done manually, which leaves opportunities unused.
Approach
I modeled compatibility with PyMC and presented the result in an operational interface.
Outcome
The system suggests assignments with a better fit between capabilities and demand.