Mike is an industry expert in predictive modeling using human capital data. More than two decades of experience in experiment design and talent analytics power his leadership of selection science at Shaker. His broad experience developing assessment tools for a wide range of industries has provided him a close view of what is effective—and what is not—when implementing candidate evaluation systems. In groundbreaking work with a Fortune 50 client, he has applied the practice of synthetic validity for establishing job relevance and predictive estimates for small-population jobs. Mike is skilled in deciphering the complexities and ambiguities of talent acquisition to create the practical, effective, and satisfying solutions clients and candidates deserve.
Mike is one of the founders of Shaker. His prior experience includes positions as Senior Consultant at CEB/SHL and Training Evaluation Analyst at Nationwide Insurance.