Vijay P

• Delivered large analytical solution to this company’s esteemed pharmaceutical client to impact business needs of the Patient Support Program, involving operations research. • Utilized advanced data manipulating and transforming methods to analyze patient data, identifying those with a higher likelihood of attrition, and applied model selection techniques. • Implemented random forest prediction and cross validation techniques to classify 2994 patients into churned and not churned categories, achieving 82 % accuracy in churn prediction showcasing strong quantitative skills. • Designed a workflow within the Azure ecosystem, leveraging model deployment at scale and segmented patients into distinct risk profiles, which led to enhanced patient engagement, improved healthcare outcomes and good impact in their business.

• Developed an AI-enabled Fintech B2B Invoice Management for the Accounts Receivables department. • Utilized XGBoost Model on to accurately predict payment clearance dates for customer invoices achieving process control. • Deployed the model on a Flask Server achieving an accuracy of 81% in payment clearance prediction. • Developed the complete application using ReactJS, JavaScript code, Java, JDBC, Servlets, and MySQL Databases.