Prafullamai Potluri
About Prafullamai Potluri
Prafullamai Potluri is the Director of Data Science at Fannie Mae, with extensive experience in financial engineering and software development.
Title
Prafullamai Potluri currently holds the title of Director Data Science at Fannie Mae. In this role, she oversees data science initiatives and strategies within the organization, operating in a hybrid working model based in the United States.
Professional Experience at Fannie Mae
Prafullamai Potluri has an extensive history with Fannie Mae, having served in various critical roles. She was a Data Science Manager from 2020 to 2024 in Virginia, where she led data-driven projects for the company. Prior to that, she held the position of Financial Engineer Manager from 2019 to 2024 in the Washington D.C. Metro Area, followed by a role as Senior Technical Lead from 2014 to 2015. Additionally, she worked as a Senior Financial Engineer for nine years from 2005 to 2014. This diverse experience has equipped her with deep industry knowledge and technical expertise.
Early Career at Wipro Technologies
Before her tenure at Fannie Mae, Prafullamai Potluri worked at Wipro Technologies as a Sr Systems Engineer from 1999 to 2002 in Hyderabad, India. In this capacity, she was involved in various systems engineering projects, gaining vital early career experience in the IT and engineering sectors.
Education and Expertise
Prafullamai Potluri possesses significant academic credentials. She earned a Master’s Degree in Computer Science from George Mason University, where she studied from 2002 to 2004. Additionally, she holds a Bachelor’s Degree in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, completed between 1995 and 1999. Her educational background underpins her technical proficiency and expertise in her field.
Key Skills and Contributions
Throughout her career, Prafullamai Potluri has demonstrated a strong ability to manage software development and financial modeling projects, particularly in the financial services sector. She led the development and implementation of financial modeling software at Fannie Mae and managed end-to-end releases for capital markets and loan accounting applications. With over 12 years of experience in software development and management, she is known for her excellent relationship management skills with both business and technology teams, as well as her superior communication and influencing abilities.