Podcast: Predictions at time of Covid - with Aleks Lazarevic

In this episode of the Data Experience Podcast we were joined by Aleks Lazarevic, VP of Advanced Analytics at Stanley Black and Decker. Aleks is an analytics veteran, with over 20 years experience in the field. In college, he studied Machine Learning, and quickly moved his academic interests into practice by helping the world's biggest companies make data driven decisions. During our discussion Aleks gave in depth insight into how COVID-19 is changing supply chain analytics for enterprise companies. We talked about the new strategies and the new types of data being employed to attempt to predict demand. And Aleks gave his opinions on the future of our economy with COVID - spoiler alert he is cautiously optimistic. Great news from an expert who is watching the numbers closely. Listen to the full episode for a fascinating discussion!

Bio of our guest

Aleks leads the company’s efforts to drive savings through advanced Big Data analytics. Aleks is responsible for providing scalable enterprise wide data lake / warehouse platform and leveraging machine learning / AI tools to solve various business problems.

Prior to joining SBD, Aleks worked at Aetna, where he was responsible for overall analytics solution in health care fraud, waste and abuse detection. He is passionate about applying big data technologies and AI in driving a business value and helping people live better life. In addition to health care industry, he has extensive experience in applying analytics in various industries ranging from banking, credit and insurance industry to smart manufacturing and computer security.

He is a frequent speaker at national data science and analytics conferences. He has co-edited a book on cyber security analytics, written 8 book chapters and published over 50 research data science articles, which were cited more than 4,500 times. He holds a PhD degree in machine learning from Temple University.


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