Zach Mesic
Economist, Economic Research
About
Zach brings a strong empirical and analytical skill set to Signal49 Research. He regularly conducts in-depth statistical and data analysis by leveraging his proficient skills in statistical software such as Python, R, Stata, and SQL. His primary research interests are automation, technological change, skills, and labour market mismatch.
Past Work Experience
Prior to joining Signal49 Research, Zach worked as a Socio-Economic Analyst for Service Canada, where he wrote and reviewed federal labour market information products, implementing both qualitative and quantitative research methods. His earlier empirical research includes studying the relationship between automation, employment and wage inequality in Canada.
