Sai Krishna Nagulapati
Data Analyst at Citigroup | Financial Analytics & BI | SQL, Python, Power BI, Tableau, AWS
- Role
- Data Analyst at Citi
- Location
- Fairfax, VA, US
- LinkedIn followers
- 500 followers
About Sai Krishna Nagulapati
Five years of financial data — millions of records, dozens of dashboards, and one…
Experience
Data Analyst
Aug 2023 — Present
Key accomplishments include:* Analyzed and forecasted critical financial metrics like credit risk and loan default rates; enabled data-driven decision-making across diverse customer segments leading to improved financial strategies organization-wide.* Executed large-scale financial dataset sourcing using Python for transaction histories; enhanced overall data integrity by 25%, resulting in more reliable analyses of customer trends and behaviors across the organization.* Established and monitored Key Performance Indicators (KPIs) such as loan approval rates; these metrics allowed precise tracking of performance across different finance domains while driving strategic improvements in operations.* Engineered dynamic dashboards in Power BI that provided real-time insights into financial performance; facilitated 15 strategic stakeholder meetings that significantly improved the quality of data-driven loan decisions made by executives.* Implemented advanced SQL techniques for comprehensive data extraction across three major finance-related domains; achieved a total time savings of approximately five hours weekly during report generation cycles.* Leveraged AWS services including Amazon S3 for scalable storage solutions and Amazon Redshift for efficient data warehousing; ensured secure management of sensitive customer financial information while optimizing operational efficiency.* Constructed an automated ETL pipeline using Apache Airflow and Python (Pandas); streamlined the extraction, transformation, and loading processes into a centralized warehouse enhancing reporting capabilities significantly.* Employed advanced data mining techniques to reveal significant correlations between demographics like age/income with credit delinquency rates; insights led to targeted engagement plans boosting customer retention by 25%.Skills: Data Analysis, SQL Programming, Python Development, Power BI Visualization
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