About Me
In my role as a Data Analyst in the Credit Department in the financial service sector, I utilize SQL and Python to extract, clean, and analyze credit related data, resulting in a 20% reduction in credit risk through more accurate risk assessments. I design and maintain Tableau dashboards to visualize credit metrics, aiding in strategic decision making and enhancing portfolio management. I conduct in depth analyses of credit application trends and customer payment behaviors, which have led to a 15% improvement in credit approval accuracy. By developing automated reporting processes, I have streamlined data workflows and saved 12 hours per week in manual data processing. My data driven insights and recommendations support the development of credit policies and risk management strategies.
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