🔥 Burnout Risk Model

What It Does

The Burnout Risk Model is a composite scoring system that quantifies “hidden” employee stress factors. It aggregates distinct data points—such as commute distance, overtime hours, and promotion stagnation—into a single 0-100 “Burnout Score” for every employee.

The Problem It Solves

Burnout is often treated as a qualitative feeling, leaving HR leaders reactive rather than proactive. By the time an employee reports feeling burnt out in a survey, they are often already looking for a new job.

How It Works

I engineered a Composite Risk Score using Python (Pandas) to weigh and aggregate stressors found in the IBM HR dataset. The model assigns weighted points to risk factors:

• Overtime (+30 pts)
• Commute (>20 miles) (+20 pts)
• Stagnation (No promotion >4 years) (+10 pts)
• Sentiment (Low Work-Life Balance score) (+40 pts)

Key Features

• Weighted Scoring Algorithm: Differentiates between minor irritants and major flight risks.
• Risk Segmentation: Automatically categorizes the workforce into “Safe,” “At Risk,” and “Critical” cohorts.
• Visual Impact: Generates clear distribution charts to highlight organizational hotspots.

Results / Impact

The model successfully identified a “Red Zone” cohort of 64 employees who were 4x more likely to resign (39.1% attrition rate) compared to the low-risk group (9.4%). This allowed HR to deploy targeted retention interventions before resignations occurred.

Tech Stack