Preeti Agrawal
About Preeti Agrawal
Preeti Agrawal is a Fraud Data Scientist specializing in financial fraud, currently working at Credit Karma in the San Francisco Bay Area. She has extensive experience in fraud application development and credit risk modeling, with a background that includes roles at American Express and Accenture.
Current Role at Credit Karma
Preeti Agrawal has been working at Credit Karma since 2018 in the role of Fraud Data Science, focusing on Financial Fraud. Based in the San Francisco Bay Area, she has accumulated six years of experience in this position. Her work involves applying data science techniques to detect and prevent financial fraud, contributing to the company's mission of providing financial transparency and security.
Previous Experience at American Express
Preeti Agrawal held multiple positions at American Express. She served as an Assistant Manager in Fraud Application, where she developed machine learning models for new accounts from 2017 to 2018. Prior to that, she worked as a Risk Analyst and Management Trainee from 2014 to 2016, focusing on credit risk model and machine learning algorithm validation. Additionally, she was an Assistant Manager in Credit Risk Model Validation from 2016 to 2017, where she continued her work in algorithm validation.
Education and Academic Background
Preeti Agrawal earned her Bachelor of Technology (B.Tech.) in Electronics from Harcourt Butler Technical University, completing her studies from 2006 to 2010. She furthered her education at Delhi University, where she obtained a Master of Business Economics with a focus on Advanced Econometrics and Quantitative Techniques in Business from 2012 to 2014.
Early Career at Accenture and Webenza India
Preeti Agrawal began her professional career as a Software Engineer at Accenture, where she worked from 2010 to 2012. Following this role, she gained experience as a Social Media Analyst Intern at Webenza India Pvt. Ltd. in 2013 for one month. These early positions contributed to her foundational skills in technology and analytics.