Elham (Ellie) Soufiani is an accomplished data scientist and researcher with broad expertise in managerial sciences, statistical modeling, machine learning, and applied analytics across multiple domains, including electric vehicle charging infrastructure, financial modeling, and healthcare analytics. She holds a Ph.D. in Statistics from the University of Regina, Canada, and has recently concluded her postdoctoral fellowship at the Levene Graduate School of Business, University of Regina, further expanding her applied project portfolio. Ellie specializes in stochastic processes, time series forecasting, and advanced modeling techniques, utilizing tools such as Python, SQL, R, and MATLAB to deliver actionable insights. She is recognized for her analytical depth, problem-solving skills, cross-disciplinary expertise, and ability to bridge complex quantitative models with real-world applications.