Rajan Anand

Rajan Anand is a skilled data scientist with extensive experience in machine learning and data analysis. Currently serving as a Senior Data Scientist at Novo since 2022, Rajan successfully developed a propensity modeling framework that increased applicant quality by over 60% and saved $9 million in ad spend. Rajan also prevented approximately $14 million in fraud losses by identifying a fraud ring through outlier detection. Previously, Rajan held senior data scientist positions at bluCognition and worked as a data scientist at WeRize. Rajan's career began at Kabbage, Inc. as a Decision Analyst, and Rajan started in the industry as a Trainee Decision Scientist at Mu Sigma Inc. Rajan holds a Master's degree in Data Science from the Rochester Institute of Technology and a Bachelor of Engineering in Computer Science and Engineering from PESIT - Bangalore South Campus.