Data Analyst
• Implemented resource cost optimization, resource cross utilization & time utilization optimization and reducing claim process times by 14%.• Built predictive model and scorecard using Python to achieved lapse prevention by 9%.• Supported data analytics for business, such price point analysis, billing analysis, NPS analysis and persistency analysis to improved total gross written premium by 6% in 2022.• Developed SQL queries to extract and analyzed customer data, identified trends and patterns to informed strategic decision making within the Customer Operations departement.• Cleansed and processed customer data using SQL to identifed key metrics such customer satisfaction ratings, claims processing times and claims resolution rates. Used Tableau to delivered comprehensive and actionable report for the Customer Operations department.