Goran Gvozden is a Senior Data Science Consultant at BIRD Consulting and Lecturer at Algebra University College, Zagreb. He holds a PhD degree in electrical engineering from the University of Zagreb, Faculty of Electrical Engineering and Computing (FER). His research interests are focused on visual perception, computer vision, sports analytics and IoT.
His cross-functional professional background includes consulting, engineering, managerial, entrepreneurial and sales roles. He is a Microsoft Azure certified expert in the field of artificial intelligence. As a data science consultant, he combines analytics-based insights with machine learning expertise to design, build and deliver optimized business solutions within cybersecurity, hospitality and financial domains.
Improving Employee Retention with Predictive Analytics. Why do employees leave?
Employee retention is a common workforce management challenge with significant impact on organizations operational costs and productivity. In fact, according to various research studies nearly half of all employees will leave their organization within their first five years on the job. In this session we talk about how we address these issues by employing the power of predictive analytics.
We’ll take a look at why predictive analytics is an important tool for managing people strategy and how to use it to get a better sense of what matters most when it comes to retaining employees. We’ll show how our data-driven approach based on a machine learning model produces valuable actionable insights required to retain top talents in the team.