Mr. Niakamal’s past projects have included conducting population, housing, and employment projections through 2050 as part of two regional growth forecasts for San Luis Obispo County and the San Diego Association of Governments, analyzing the economic and employment characteristics of drivers working for app-based platforms in California, conducting an assessment of future workforce needs in Los Angeles for the County’s Health Agency departments, and developing a broad land use analysis for the City of Los Angeles.

In supporting a diverse cross section of the firm’s analytic products and services, Mr. Niakamal applies deep technical expertise in econometric modeling, and in cleaning, maintaining, and managing large and complex datasets. His academic interests and experience include Bayesian inference, causal inference as applied to policy analysis, regression analysis, econometrics, and the application of statistical and econometric software programs including EViews, Stata, and Python.

Prior to joining Beacon Economics, Mr. Niakamal completed a graduate level internship at Applied Medical, where he managed and leveraged large data sets to provide sales forecasts. Most recently, he was an economic analyst with the New York City Department of Education working within Environmental Health and Safety.