Salifort Motors Workforce Analysis

Through supervised and unsupervised learning models, segments employees and predicts their likelihood of staying.
case details
case details
case details

Overview

Salifort Motors, a trailblazer in alternative energy vehicles, embarked on a strategic initiative to revitalize its global workforce dynamics. The journey began with a deep dive into employee data, seeking to distill insights that would fuel retention and foster a culture of innovation.
Through the power of data analytics and machine learning, pivotal insights into employee retention were unveiled, leading to the development of highly accurate predictive models and a personalized employee engagement framework that redefined workforce strategy at Salifort Motors.
key stack used:

Highlights

  • Language
    Python
  • File Types
    Jupyter notebook
  • Accuracy
    98.3%
  • Share
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