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Nivedhita Burgula

Data Analyst • United States • n******************@gmail.com • +13******100 • linkedin.com/•••••

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

Programming Languages: Python,SQL,R
Data Visualization: Power BI,Tableau,Excel
Databases: MySQL,PostgreSQL,Oracle,Snowflake
ETL & Data Processing: SSIS,ETL Pipelines,Data Cleaning,Data Modeling
Cloud & Big Data: AWS,S3,Redshift,Azure Data Services,Hadoop
Tools & Collaboration: Git,Jira,Agile

Work Experience

Fifth Third Bank
Kentwood, MI
Data Analyst
Feb 2024 – Present
Regional U.S. banking institution; provided data analytics and automation for finance, retail banking, credit-risk and compliance functions.
Tech Stack: SQL, Power BI, Python, Data Modeling, ETL, Financial Reporting
  • 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.
Birla Soft
Hyderabad, India
Data Analyst Intern
Jun 2022 – May 2023
IT services firm; aided healthcare and retail clients by building ETL pipelines and BI dashboards aligned to their reporting and analytics needs.
Tech Stack: Tableau, SQL, Python, ETL Pipelines, Data Cleaning, Exploratory Data Analysis (EDA), Data Visualization, BI Dashboards
  • 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

Wilmington University
Master of Science in Information System Technology • May 2023 – Dec 2024
Vignana Bharathi Institute of Technology
Bachelors of Technology in Electrical and Electronics Engineering • Jun 2018 – Jun 2022

Certifications

Achieved Microsoft Certified Data Analyst Associate (Power BI) — Microsoft

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