Results-driven IT professional with a proven track record in Azure, AVD, and RDS troubleshooting across Windows Server platforms (2016, 2019, 2022). Demonstrates exceptional productivity through effective problem-solving and technical guidance, ensuring high customer satisfaction. Core competencies include communication, adaptability, and efficient task management. Committed to enhancing support processes and customer experience.
AZ-900 : Azure Fundamentals
https://learn.microsoft.com/api/credentials/share/en-us/JubeenaRampal-9693/3950343DEFB8AA7C?sharingId=B3C2D6CC38A14D8
Thesis: “An Ensemble Model used to predict Health Insurance Premiums using Machine learning” by which one can predict the insurance premium-based health care system accurately.
Publication: “An Ensemble Model To Predict Health Insurance Premium Using Machine Learning (2020), DOGO RANGSANG, Research Journal (DRSR Journal ISSN: 2347-7180), UGC CARE GROUP-1
International Online Conference: "Emerging Trends in Multi-Disciplinary Research “ETMDR-2020”, paper presented and accepted on “An Ensemble Model To Predict Health Insurance Premium Using Machine Learning held on July 23-25, 2020 at Poornima University, Jaipur.