Ryan Barnhart

Background

About Ryan Barnhart

Ryan Barnhart is lead data scientist for Cloud, Data and AI - PwC Canada - who brings over 18 years of full time university training and study, as well as over 17 years of applied work in the areas of data science, statistics and modelling. Having worked in out and out of a wide variety of disciplines and settings, Ryan brings not only an eclectic perspective to collaboration, but a uniquely developed set of skills for problem identification, articulation, and solution. Over his 8 years of teaching, Ryan has fashioned himself to become a careful and deliberate listener and orator who is a valuable asset to team based activities and client relations. Ryan is a multivalent, multifaceted thinker who combines and integrates knowledge and information from an extremely broad, but deep and focused set of experiences, into cohesive, coherent narratives that emerge as useful and active solutions to a seemingly unlimited set of problem types. Ryan is interested in bringing his acquired skills to a business client network that is interested in providing evidence based solutions for modern data driven problems for all areas of business behavior and decision making. Ryan's research and studies include: • Theory & Methods of Time Series Analysis • Applications of Mixed Models • Linear & Generalized Linear Mixed Models • Panel Data Methods • Applied Longitudinal Data Analysis • Structural Equation Models • Exploratory & Confirmatory Factor Analysis • Data Visualization • Univariate Analysis • Multivariate Analysis • Sampling, Survey Design & Analysis • Categorical Data Analysis & Visualizing Categorical Data • Calculus • Mathematical Methods and Boundary Equations • Fourier Synthesis • Laplace Transforms • Lagrange Multipliers • Differential Equations • Quantum Mechanics • Mechanics, Dynamics & Chaos Theory • Special and General Relativity • Thermodynamics & Statistical Mechanics