Project detail

Future Skill Gaps

Bayesian analysis to estimate future skill gaps and anticipate talent needs.

completeddataFeatured project
  • python
  • pymc
  • flutter
  • fastapi

Highlights

  • Skill gap estimation
  • Prediction of future needs
  • Frontend for visualizing gaps
  • Useful for workforce planning

No public repository or demo link is published for this project yet.

Architecture

Bayesian model with a FastAPI backend and Flutter frontend to compare current skills with future requirements

Challenges

  • Translating future goals into clear thresholds
  • Maintaining sampling stability
  • Making the output actionable for talent teams

Outcome

A tool for planning upskilling, reskilling, and hiring with probabilistic evidence

Overview

Problem

Skill needs change quickly, and gaps should be anticipated before they affect operations.

Approach

I modeled observed and required skills to estimate the distance between the current state and the future.

Outcome

The analysis helps guide development and hiring decisions with more clarity.