

With a proven track record of driving successful outcomes, I am a highly dedicated and accomplished professional with over 20 years of experience in Healthcare Provider and Payor domains in IT Program Management, Data Science, Business Intelligence (BI), AI, and Analytics, including expertise and certifications in Cerner and Epic systems. I am recognized for my exceptional leadership abilities and the ability to deliver results. I have led enterprise data analytics platform roll-out for some of the largest public healthcare provider Organizations in the Middle East and U.S
• Implemented Advanced Analytics and AI for three major public sector provider network total of 40 hospitals and 200+ Primary Health Centers
• Developed a custom chatbot using LLMs for Healthcare Data Analytics
• Established and built the Advanced Analytics and AI practice at Cerner Middle East, positioning the organization as a leader in healthcare analytics and artificial intelligence solutions in the region.
• Led a team of 58 in the development and implementation of a highly effective Population Health Data Analytics Solution.
• Established and Built the Healthcare provider consulting practice at Oracle
• Established and Built the Epic Clarity Center of Excellence at Zanec
• Co-authored a paper in ISPOR on the innovative Outcomes Driven Data Application - Asthma Data App, contributing to the advancement of evidence-based healthcare practices - Asthma Data App
• Co-Authored SKMCA's data journey from being data agnostic to data-driven organization
• Speaker for presenting AI model to predict ICU mortality of COVID patients - HIMMS 2023
• Honored with the Rising Star Award by Her Excellency, Dr. Hanan Al Kuwari, Minister of Public Health, Qatar, for outstanding contributions to enhancing operational efficiency at the largest healthcare provider in Qatar
• Won the prestigious AI Implementation of the Year award in GovTech 2022 for successfully implementing the No Show AI Model and the ED to IP Prediction Model, significantly improving operational efficiency and patient outcomes- AI Implementation of the Year
• Four papers on AI models are currently in peer review in leading journals