Rama Krishna
About Rama Krishna
Rama Krishna is a Senior Data Analyst, Lead at Fannie Mae in Herndon, VA, specializing in data quality metrics projects.
Company
Rama Krishna currently works at Fannie Mae as a Sr. Data Analyst, Lead. Fannie Mae is a leading source of mortgage financing in the United States, operating in the secondary mortgage market to enhance the availability and affordability of homeownership. The company is headquartered in Washington, D.C., with additional offices and operations, including those in Herndon, VA, where Rama is based.
Title
Rama Krishna holds the position of Sr. Data Analyst, Lead at Fannie Mae. This role involves overseeing and ensuring the integrity of data quality metrics within the organization. His responsibilities include managing processes to ensure data completeness, consistency, accuracy, and reasonableness across various information systems.
Employment at Cigna Corporation
Rama Krishna worked as a Sr. Data Analyst at Cigna Corporation from 2013 to 2014. During his tenure in Bloomfield, CT, he was involved in data analysis activities critical to supporting Cigna's health service operations. His role contributed to the company's initiatives in improving data-driven decision-making processes.
Employment at Travelers Insurance Indemnity
From 2011 to 2013, Rama Krishna served as a Sr. Data Analyst at Travelers Insurance Indemnity in Hartford, CT. During this period, he focused on data analysis and reporting functions that supported the company's insurance and risk management operations. His efforts were pivotal in enhancing the data management processes at Travelers.
Data Quality Metrics Projects at Fannie Mae
Since October 2014, Rama Krishna has been leading data quality metrics projects at Fannie Mae. His work ensures data completeness, consistency, accuracy, and reasonableness between the source acquisition systems and the target Data Operational Store. This initiative plays a crucial role in maintaining the high standards of data integrity required for the company's operations and decision-making processes.