Duration: [04/2024] – [05/2024]
Objective: Developed a comprehensive churn analysis to identify key factors influencing customer churn and provide actionable insights for retention strategies.
Tools & Technologies: Power BI, SQL, Excel.
Key Responsibilities: Collected and cleaned data from multiple sources to ensure accuracy and consistency. Designed and implemented interactive dashboards using Power BI to visualize key metrics and trends. Conducted in-depth data analysis to identify patterns and correlations related to customer churn. Created various reports and visualizations to present findings to stakeholders, facilitating data-driven decision-making.
Achievements: Successfully identified critical churn indicators, leading to a 15% reduction in churn rate over six months. Improved stakeholder engagement and understanding through intuitive and interactive visualizations. Enhanced the decision-making process by providing real-time data insights and predictive analytics.
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Churn Analysis Project