Summary
Miguel Vázquez is an economist and data-focused researcher with eight years of experience applying high-frequency data analysis, forecasting, and automation to public-sector economic projects. Currently a Forecast and Analysis Intern at the Swiss National Bank and completing a Master's at the University of Zurich, he has supported publishable research at top journals (QJE, AER: Insights) and built forecasting tools and monitoring pipelines at SECO. He brings strong coding and reproducibility practices—working with R, Stata, Python, MATLAB, LaTeX and GitLab—to automate data workflows, perform code reviews, and maintain internal software packages. Miguel pairs rigorous empirical skills (nowcasting, business-cycle models) with hands-on data engineering for weekly and high-frequency series. Comfortable translating technical results for policy audiences, he also has frontline experience in project coordination and quality assurance for publications and press releases. Outside work he channels curiosity into travel, cycling and rapid skill acquisition, reflecting a pragmatic, continuous-learning approach.
8 years of coding experience
5 years of employment as a software developer
Master of Arts - MA, Economics, Master of Arts - MA, Economics at University of Zurich
High School Diploma and Salesman Certificate (EFZ), High School Diploma and Salesman Certificate (EFZ) at Scuola Cantonale di Commercio Bellinzona
English, Italian, Spanish, French, German, Portuguese, Galician