Afshin Ashofteh holds a Ph.D. in Information Management specializing in Statistics and Econometrics; an MBA in Finance; a Post-graduate degree in Statistical Systems specialized for Central Banks; a Master`s degree, and a BSc in Mathematical Statistics. He is certified by TÜV NORD for Risk Management and Internal Audit of Information Security Management System (ISMS). He is a Member of the Information Management Research and Development Center (MagIC), NOVA IMS. His professional path includes the experience of teaching and applying Econometrics and Statistics to problems in financial risks, actuaries, and official statistics. His scientific interests have focused on Data Science in Finance and the implementation of Big Data and predictive models in the area of Banking, Actuaries, and Official Statistics. Recently, his research works are focused on ensemble models for panel time series, machine learning approaches, and data science. His recent article about a new machine learning approach for credit-scoring with Big Data is published in Expert Systems with Application (top 5% journal in artificial intelligence), with its PySpark code awarded a Reproducible Badge, and it was the winner of the first prize of the International Conference of Risk Analysis in Austria.