Nivedhita Burgula
Professional Summary
Data Analyst with 3+ years of experience in financial services, specializing in SQL, Python, Power BI, and Tableau for data-driven decision-making. Experienced in building automated dashboards, optimizing ETL pipelines, and analyzing large-scale transactional data. Improved reporting efficiency by 35% and enhanced data accuracy by 20% through automation and validation frameworks. Strong ability to translate business requirements into scalable analytical solutions that support risk, finance, and operational teams.
Technical Skills
Work Experience
- Developed automated financial reporting dashboards using SQL and Power BI, reducing manual reporting effort by 40% and improving decision-making speed across finance teams.
- Analyzed large-scale transactional banking data to identify fraud patterns and anomalies, improving fraud detection accuracy by 25% across retail banking operations.
- Built and optimized SQL-based data pipelines to support credit risk analysis across loan portfolios, improving data processing efficiency by 30%.
- Collaborated with risk, compliance, and product teams to define KPIs and build regulatory reporting dashboards, ensuring 100% audit compliance adherence.
- Implemented data quality validation frameworks using Python, reducing data inconsistencies by 20% in core banking datasets.
- Assisted in developing client-specific BI dashboards using Tableau and SQL, improving reporting efficiency for enterprise clients by 30%.
- Supported ETL pipeline development for multiple client datasets across healthcare and retail domains, ensuring clean, structured, and validated data delivery.
- Performed exploratory data analysis on large datasets to identify trends and insights, improving client decision-making accuracy by 20%.
- Automated data cleaning processes using Python scripts, reducing manual preprocessing time by 35%.
- Contributed to client requirement gathering sessions and translated business needs into analytical dashboards and reports.
Education
Certifications
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