Having worked as a physician for sometime, I have found new interest in healthcare prescriptive and predictive analytics, including artificial intelligence. In my current role, I lead the development of clinical data models and execution of new and/or highly complex statistical predictive algorithms that are applicable in the healthcare industry and determine best analytical approaches and modeling techniques to evaluate potential future outcomes including but not limited to Artificial Neural Networks, Random Forest, Support Vector Machine, XG Boost, and Bayesian model. I have skills and experience in python, pyspark, Azure databricks, Azure ML (ML flow), SQL, PowerBI, Tableau and SAP Business Objects.