Data Analyst
• Developed a machine learning model to predict customer churn, achieving 87% accuracy and improving retention strategies.• Conducted in-depth exploratory data analysis using Python, uncovering key factors influencing customer churn rates.• Created interactive Power BI dashboards to visualize churn predictions and key metrics for executive decision-making.• Utilized SQL and Python to clean, preprocess, and analyze customer data from multiple sources, ensuring data quality and consistency.