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Data Analyst with 5+ years of experience in financial services
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Competencies
Utilized Excel, SQL, and Python to extract, analyze, and visualize data for strategic decision-making.
Created interactive dashboards and reports with Power BI and Tableau to communicate insights effectively.
Designed and maintained complex SQL queries and database structures to support analysis workflows.
Collaborated with cross-functional teams to align data insights with business objectives.
Built predictive models using scikit-learn and Python for customer retention and risk assessment.
Education
Summary
Experienced data analyst specializing in financial services, skilled in SQL, Python, Power BI, and Tableau. Proven ability to streamline data processes, develop predictive models, and deliver impactful visualizations to support strategic initiatives.
Key Achievements
- Streamlined data collection processes, reducing turnaround time by 20% in the finance department.
- Led the migration of reporting tools to Power BI, enhancing dashboard capabilities and user accessibility.
- Developed predictive models that identified customer churn risk, contributing to retention strategies.