Michael Demidenko is a co-partner and consultant at Residual Insights.

Trained at the University of Michigan and Stanford University, Michael is an experienced data scientist, data engineer and quantitative research manager specializing in visualization, advanced statistical analytics, rigorous research, experimentation and hypothesis testing. He has authored over 30 research products, employing a wide range of research methods across clinical, behavioral, cognitive and biological domains. His passion lies in understanding unique data, analytic, research and business challenges, enabling him to address key inquiries and enhance data quality for more precise inference. Michael has built data workflows and analytic pipelines managing over 100TB of data. He has used A/B testing, data reduction techniques, predictive modeling and more. He has experience in deploying python packages and generating reproducible analytic workflows in R and Python.