Dr. Ravi Kumar Mokkarala is an experienced Data Scientist, AI/ML Practitioner, and Pharma & Healthcare Analytics Professional.
He has a strong academic foundation with an M.Sc. in Statistics from Andhra University, India.
His professional experience spans pharmaceutical research, biometrics, clinical data management, regulatory submissions, real-world evidence, commercial analytics, and healthcare data science.
He has worked with major organizations including IQVIA, Pfizer, Tanabe Pharma/Shionogi Pharma, and Dotcom Team.
His technical expertise includes SAS, SAS Viya, SQL, Python, Snowflake, CDISC, Machine Learning, Generative AI, LLMs, Tableau, Power BI, and cloud-based analytics technologies.
His research focuses on AI-driven predictive analytics for improving healthcare performance, including patient outcomes, hospital operations, clinical decision support, and healthcare cost optimization.
He has conducted research in areas such as hospital readmission prediction, mortality and clinical deterioration, ICU analytics, cancer survival, healthcare forecasting, and personalized medicine.
His research interests also include Explainable AI, Responsible AI, bias and fairness, AI governance, and regulatory considerations for healthcare analytics.
He has contributed to multiple research papers on Healthcare AI, Machine Learning, Predictive Analytics, Real-World Data, and Healthcare Financial Performance.
His professional profile uniquely combines Statistics, Pharmaceutical Industry Knowledge, Clinical Data, Data Science, Artificial Intelligence, and Healthcare Predictive Analytics, positioning him as a strong contributor to the advancement of data-driven healthcare decision-making and innovation.