Yeasmin Khandakar, PhD is a data scientist and statistician with 10+ years of experience building time series and machine learning solutions across industry and academia. She developed an automatic ARIMA modeling framework during her doctoral research under Prof. Rob Hyndman and has published highly cited work on automatic ARIMA forecasting. In industry, Yeasmin has led analytics and forecasting initiatives as Senior Data Scientist at Transurban, Officeworks, Coles, and Optalert, and previously designed automated trading algorithms as Senior Research Scientist at Portland House Group. Her expertise spans time series filtering and forecasting, predictive modeling, clustering, and large-scale model development in R and Python. Yeasmin holds a PhD in Statistics from Monash University, is NV1 cleared, and is certified as a Professional Scrum Product Owner (PSPO I). She brings deep practical and research insight to Modern Time Series Analysis with R
