Hanan Swidan

Hanan Swidan is a passionate Data Analytics professor renowned for her expertise in leveraging mathematical principles to gain deeper intellect from complex datasets. Her deep understanding of statistical methods and advanced modelling techniques empower her ability to extract meaningful information that drives informed decision-making processes.

Hanan’s research is focused on developing innovative statistical methods and algorithms to optimize data analysis processes across diverse fields. Her work aims to revolutionize the way data is analyzed and utilized in the business world.

For over a decade, Hanan has actively engaged in teaching and mentoring students, utilizing her ability to effectively convey complex concepts in the field of Data Analytics. Over the past seven years, she has dedicated her expertise to teaching this subject, equipping her students with the necessary skills to thrive and excel in an increasingly data-driven world.

In addition to her academic pursuits, Hanan has collaborated with industry professionals on numerous data analytics projects. Her unique perspective and applied approach have allowed her to provide innovative solutions to real-world challenges. Through these collaborations, she has demonstrated her ability to bridge the gap between academia and industry.