• Degree in Mathematics - UNED (ongoing).
• MSc in Econometrics and Operations Research - Vrije University of Amsterdam (2008).
  Description of the programme

  The Master's programme in Econometrics and Operations Research focuses on the development and application of quantitative methods for analysing economic issues in a broad sense. At the beginning of the programme, students make a choice for either of the two specialisations in the programme: Econometrics and Mathematical Economics or Operations Research and Business Econometrics.
  Courses (6 credits each): Advanced Econometrics, Case study , Combinatorial Optimization and Logistics, Computational Econometrics, Simulation and Stochastic Systems, Stochastic Processes for Finance, Strategic and Cooperative Decision Making, Master's Thesis (18 credits).
• Diploma of Advanced Studies (Major: Macroeconometrics) - University of the Basque Country (2004).
  Courses (3 credits each):

  Teoría de Juegos, Paquetes Estadísticos y Econométricos; Macroeconometría: Modelos Dinámicos Multiecuacionales; Microeconomía; Macroeconomía; Diseño de la Unión Europea; El Sistema de Indicadores Económicos Europeos; Economía Básica de la Unión Europea. Tesina.
• Bachelor in Economics (Major: Macroeconomics) - University of the Basque Country (2002).

• Statistics: Exploratory data analysis, analysis of variance, linear and non-linear regression, time series analysis.
• Optimization algorithms: With application to the estimation of model parameters by maximum likelihood.
• Programming: R (+10 years of experience), Python (used for a broad range of tasks), C (prepare precompiled code to speed up R or Python scripts), CUDA (exploratory scripts).
• Literate programming tools: LaTeX (+10 years of experience), Sweave, makefile.
• Web development: HTML, CSS, javascript, php (learned by creating and maintaining this website).
• Web automation and scraping: Using Python's Selenium tool.
• Operative systems: Linux (once installed +20 years ago, it openned to me a new world to Do It Yourself and collaborative projects).

• November 2010 to present: Research Manager Technician. Vice-rectorate for Research. Universidad del País Vasco UPV/EHU.
• March 2010 - October 2010: Interim teacher of Mathematics for Economists. Universidad del País Vasco UPV/EHU. Faculty of Economics and Management. Department of Applied Economics I.
• September 2009 - February 2010: Self-employed as a professional in Statistics.
• February 2006 - June 2006; January 2007 - September 2007: Interim teacher of Econometrics and Statistics. Universidad del País Vasco UPV/EHU. Faculty of Economics and Management. Department of Applied Economics III.

• July-December 2006: European Central Bank Internship Programme. Directorate General Statistics (DGS). Frankfurt am Main (Germany).
  During this period I become acquainted with the software and data bases employed in the DGS as well as with the tasks %in which the Directorate is involved for involved in the development and dissemination of euro area statistics.
  I take part in two projects: (1) Compile information for a research on the comparability of deflators for gross domestic product. (2) Perform an empirical analysis on seasonal adjustment of harmonised consumer price indices (HICP). The analysis compares the direct and indirect approaches for seasonal adjustment of HICP. The software X-12-ARIMA and TRAMO/SEATS are used. The results were discussed in a seminar with staff from the ECB.

I enjoy implementing algorithms and reproducing results from academic papers in statistics. I admire mathematics and the way it is developed with rigorous consistency. In contrast to fields that focus on generating knowledge through hypothesizing theoretical models and calibrating them with data, I am particularly curious about the potential of artificial intelligence to create new outputs or solutions directly from data, without relying on predefined models.