Detail-oriented Actuarial Analyst with a background in healthcare data analysis and report generation. Proficient in SQL programming, specializing in extracting and analyzing large datasets to provide valuable insights into healthcare utilization trends. Collaborative and dedicated, possessing a proven track record in assisting in the development of statistical models and delivering comprehensive reports that support informed decision-making. Committed to data accuracy and passionate about problem-solving, striving to contribute to the success of dynamic organizations in the healthcare industry.
R Project: Boston Marathon analysis, Conducted an analysis of the Boston Marathon race data to predict the finish time of runners based on factors such as age, gender, and checkpoint finish times. Utilized statistical techniques and data visualization tools to identify trends and correlations in the data and make accurate predictions of runner finish times.
R Project: Analysis of The Covid-19 Pandemic on Health Sector, Conducted an in-depth analysis of the impact of the COVID-19 pandemic on the health sector by utilizing multivariate series, Vector Autoregression (VAR), and ARIMA models. Built predictive models using data from Altarum to identify patterns and forecast future health spending trends in response to the pandemic. Utilized advanced statistical methods to gain valuable insights into the impact of COVID-19 on health sector spending and resources.