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Digital Capability Gap Mapper
Workforce AnalyticsML-powered system identifying skills gaps across organizational teams with predictive capability scoring.
Overview
💡 Challenge
Organizations lack visibility into workforce digital capabilities, making it difficult to plan training programs and identify succession risks.
⚡ Solution
Developed a classification model using survey data to predict capability levels, coupled with an interactive dashboard showing skills heatmaps and gap analysis.
🎯 Impact
Helps L&D teams prioritize training investments and identify at-risk teams with low digital maturity.
Technical Details
🛠️ Tech Stack
PythonScikit-learnStreamlitPandasRandom Forest
✨ Key Features
- ✓Random Forest classification for capability prediction
- ✓Team-level skills heatmaps
- ✓Gap prioritization matrix
- ✓Training ROI estimation
Key Learnings
- →Survey data requires extensive cleaning and categorical encoding
- →Model interpretability is critical for HR stakeholder buy-in
- →Capability frameworks must align with organizational taxonomy
📊 Data Notes
This project uses synthetic/open data to demonstrate capabilities while maintaining privacy and confidentiality. All methods and approaches are applicable to real-world scenarios.