Mayank Raturi

Dr. Mayank Raturi is an accomplished ML & AI leader specializing in predictive analytics, enterprise risk management, and macroeconomic forecasting. With extensive experience across healthcare, insurance, and financial sectors, he focuses on delivering data-driven solutions that enhance both strategic and operational decision-making. 

He has developed advanced forecasting models achieving up to 95% accuracy in predicting health outcomes and has guided more than 1,000 stakeholders through periods of economic disruption. Dr. Raturi has played a key role in driving business growth and innovation. At Apperture, he established a consulting division that expanded market reach and contributed to award-winning research. During his tenure at Moody’s, he led credit risk initiatives that improved customer retention to 98% and supported double-digit revenue growth. 

His expertise includes Probability of Default (PD) model validation for CECL compliance, translating complex statistical techniques into actionable business insights, and mentoring data science teams. His work consistently emphasizes practical impact, enabling organizations to optimize resources, manage risks effectively, and strengthen strategic planning.

Dr. Raturi has extensive professional experience across healthcare, insurance, and financial sectors. He has held leadership roles in machine learning, predictive analytics, and enterprise risk management. 

At Apperture, he established a consulting division that significantly expanded market reach and contributed to award-winning research initiatives. During his tenure at Moody’s, he led major credit risk initiatives that improved customer retention to 98% and supported sustained revenue growth. 

He has also guided over 1,000 stakeholders through periods of economic disruption by applying robust macroeconomic forecasting and data-driven strategies.

Machine Learning and Artificial Intelligence, Predictive Analytics, Risk Management, Credit Risk Modeling, Macroeconomic Forecasting, Healthcare Analytics, Financial Analytics, and Data-Driven Decision Systems.

Dr. Raturi believes in bridging the gap between theoretical concepts and real-world applications. His teaching approach emphasizes practical learning, case-based discussions, and hands-on experience with analytics tools. 

He focuses on developing critical thinking and problem-solving skills so that learners can apply advanced analytical techniques to solve business challenges effectively.

Machine Learning, Artificial Intelligence, Predictive Analytics, Risk Management, Financial Analytics, Macroeconomic Analysis, and Data Science for Business Decision-Making.

Dr. Raturi has contributed to award-winning research initiatives and business consulting projects. He has been recognized for leadership in developing high-impact predictive models and driving business growth through data-driven strategies. 

Dr. Raturi has been actively engaged in research and industry-driven analytical projects focused on machine learning applications in healthcare, finance, and risk management. 

His work includes developing predictive models, validating Probability of Default (PD) models for regulatory compliance such as CECL, and conducting macroeconomic forecasting studies. He has contributed to award-winning research and has mentored data science teams, fostering innovation and analytical excellence. 

]His scholarly contributions emphasize translating complex statistical methodologies into practical business applications that support executive decision-making, risk mitigation, and long-term strategic planning.