A global provider of corporate payment and employee benefit solutions

Company

Edenred

Industry

Financial Services

Country of the Company

EU

Type of Service

Consulting/Development

Tasks

  • Developed visualizations for client segments and profiles
  • Predicted churn likelihood with machine learning models
  • Set up data warehouse and database schema
  • Automated data updates for Power BI dashboard
  • Implemented alert system for data updates and exchanges
  • Created tools for churn retention strategies
  • Compiled detailed project documentation

Challenges

Building a robust data infrastructure and predictive models for effective churn retention.

Solutions

  • Set up a data warehouse (likely AWS Redshift or Google BigQuery).
  • Use scikit-learn models and gradient boosting for churn prediction.
  • Automate data processes and implement retention strategies.

Outcomes

Improved client retention and data-driven decision-making through advanced analytics.

Technologies Used

Python (scikit-learn, gradient boosting)

Data warehouse (AWS Redshift, Google BigQuery)

Power BI

Company

Edenred

Industry

Financial Services

Country of the Company

EU

Type of Service

Consulting/Development

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