Tickr AI Research & Engineering
Research By
Michael is a senior data scientist at Tickr who works primarily in developing machine learning algorithms to enhance Tickr's products and services. He has a strong background analyzing large and complex datasets using econometric and statistical methods. His expertise in employing advanced econometric techniques for causal inference enhances the precision and depth of his analytical contributions. Before joining Tickr, Michael was a tax manager at PwC where he led statistical analyses for various projects that helped recommend business decisions for a diverse set of clients. Michael holds a PhD in Economics from the University of California, Irvine and brings a wealth of expertise in data-driven insights.