Position: Head of Analytics/ Team Leader/ Consultant
Category: Data Analyst
English level: fluent
Years of experience: 11

In progress, look at my google scholar and GitHub profile.
I do applied econometrics (statistics, economics, optimization) with a special emphasize on economic meaning and interpretation of quantitative results. 

My previous experience includes economic research, consulting, quantitative data analysis (since 1996), and teaching business people how to optimize their activities using economic way of thinking. 

I hold PHD in economics.
I expect economic analysis of individual, household or enterprise behavior based on causal inference (like instrumental variable techniques), panel data methods, discrete choice models (e.g. multinomial logistic regression) or machine learning methods (cross section data). 

I do regression analysis (e.g. ordinary least squares, fixed effects, random effects model, logistic regression, ordered probit) and other machine learning methods (e.g. decision trees, xgboost) with application to economic data and decision making (e.g. consumer behavior, firm performance).

We can discuss applications and estimation of linear programming (e.g. transportation problem, resource optimization, cost minimization) models or dynamic stochastic general equilibrium models.

I can teach your developers and data scientist how to understand and interpret economic regularities. 

I do not expect in-depth time series analysis, bitcoins, unpaid test tasks. 


Please note, I am not going to show you my coding skills or a problem set solution during interview.