Pavlo Mysak

Data Scientist

I’m a Data Scientist @ BERA.ai, where I design and estimate Bayesian hierarchical models to measure all things brand equity for Fortune 500 clients. Recent work has combined instrumental-variable identification (inspired by two-stage least squares), Bayesian variable selection grounded in exclusion-restriction logic, and latent variable structures for hard-to-observe channels. I hold an M.S. in Data Science from Boston University and a B.S. in Business Analytics and Economics from SUNY New Paltz.

Previously, I worked on pricing and forecasting @ La Tourangelle, building demand forecasting and price elasticity models.

My interests include machine learning, Bayesian statistics, causal inference, and econometrics.