As a Health Data Scientist, Brian Saindon (MPH) leverages innovative data science tools to identify underlying patterns within healthcare systems. As a Health Data Analyst for Predilytics, he applied advanced statistics to predict disease likelihood, member disenrollment, member hospitalization and member receptivity among Medicare and commercial populations; as a Research Analyst at Beth Israel Deaconess Medical Center he worked alongside medical professionals to explore predictors of out of hospital cardiac arrest. Brian has experience using advanced statistics, Machine Learning Methods, R, Python, SAS, SQL, Tableau and many other data science tools to accomplish his work in a results oriented focus. He always enjoys tackling new challenges and loves swimming during his spare time.
