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employee-turnover

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Analyzed employee turnover (Jan 2022 - Mar 2023) at my former organization, considering trends, departmental attrition, and tenure insights. Used predictive analytics from the 2022 Employee Engagement Survey to identify groups with flight risk. Incorporated Survival Analysis for temporal patterns, guiding decisions to improve retention.

  • Updated Aug 11, 2024
  • Python

Employee Turnover Analysis using Data Analysis in Excel: This project analyzes employee data using Excel to identify key factors contributing to turnover. By leveraging statistical analysis, pivot tables, and data visualization techniques, it provides actionable insights to reduce attrition and improve employee retention strategies.

  • Updated Jan 21, 2025

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