Raj Desai

Raj Desai is a Senior Data Scientist at Blend360, with extensive experience in financial fraud detection, online grocery response modeling, and patient attrition prediction across various industries. Notable achievements include developing an XGBoost model for fraud detection with over 5000 features, building predictive models using Logistic and Linear Regression, and achieving an 87% accuracy rate with Random Forest classifiers in the retail pharmacy sector. Raj has also contributed to academic institutions as a Graduate Faculty Assistant at Syracuse University, focusing on text mining and natural language processing. With a Master's degree in Applied Data Science from Syracuse University and a Bachelor's degree in Computer Science, Raj combines strong analytical skills with practical experience in deploying data-driven solutions.