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Automated employee-to-site competency matching
Matching employee competencies to site requirements was manual and time-consuming. HR needed an objective, scalable approach for talent deployment and workforce planning.
Developed a Python application that ingests competency requirements and employee data, applies matching logic, and generates multi-sheet Excel reports showing candidates by site and competency.
Designed the matching algorithm, implemented data processing pipelines, and created structured output reports for HR decision-making.
Data cleaning and standardization of competency records
Fuzzy matching for competency name variations
Multi-criteria scoring based on competency levels
Structured Excel output with multiple worksheets
Filtering by site, competency, and qualification level
Data standardization is critical for matching accuracy
Domain expertise improves algorithm design
Clear output formats drive adoption