Occupational Structure in the U.S. Labor Market
Using large-scale LinkedIn data to map and predict occupational mobility.
- Developed scalable Python pipelines that processed 200 M+ LinkedIn profiles, applying NLP techniques to clean text and map self-reported job titles to official SOC occupation codes.
- Trained models on 120 M+ individual career sequences to predict when workers switch occupations, uncovering key demographic and skill correlates of mobility.