Data Science Project: Reproducible workforce analytics using employee, job architecture, and listening-survey data to identify structural career ceilings, quantify links to career growth, promotion, and voluntary turnover, assess equity exposure, and prioritize targeted interventions.
data-science r reproducible-research people-analytics statistical-modeling turnover-analysis workforce-analytics job-architecture employee-listening-survey-analysis
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Jul 23, 2026 - R