Bio

- ~ 15 years of experience in designing and delivering Machine Learning, Data Science and Artificial Intelligence solutions for Healthcare and Life Sciences customers - Machine learning experience encompasses conceptualizing, designing, and delivering end-to-end advanced predictive analytics and machine learning solutions, and working with businesses to facilitate change management and adoption of those solutions - Hands on experience working on analytical platforms: SAS, R, Python, Azure ML, Matlab - Demonstrated ability to understand customer business model, business priorities, strategy and needs and accordingly recommending Artificial Intelligence/ Machine Learning / Data Science solutions yielding tangible returns on investments - Regular contributor for Data Revolution blog of Journal of AHIMA on Healthcare Analytics and Machine Learning, and Illuminating Informatics column - Speaker in industry conferences on topics of AI & ML in Healthcare Core Competencies: Artificial Intelligence in Healthcare Analytics / Data Science consulting Machine learning for Healthcare Predictive and Prescriptive analytics Deep Learning & Neural networks Text Mining EHR / EMR Data Analytics Fraud Waste and Abuse Analytics Payment delinquency analytics Artificial Intelligence / ML CoE set-up Population Health Analytics Accountable Care