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Click here for pdf version.
PhD in Economics
2021 - 2026 (expected)
Master's degree in Quantitative Economics
2019 - 2021
Degree in Economic Analysis
2015 - 2019
Teaching Assistant - Statistics, Econometrics and Macroeconomics
oct. 2021 - present · 4 years
Teaching Assistant in the Professional course "Forecasting and Nowcasting with High-Frequency Information"
February 2023, 2024 and 2025
PhD Traineeships in the Directorate General Economics, Business Cycle Analysis (BCA) division
jun. 2022 - may. 2023 · 1 year
Research Technician (I-PAS-74/19), ”ECONOMÍA Y GÉNERO (PROMETEO/2019/037)”, Fundamentos de Análisis Económico
nov. 2019 - oct. 2020 · 1 año
Business Intelligence Internship
nov. 2018 - jun. 2019 · 8 meses
Computer skills: Python, R, Stata, Matlab, Excel, Gretl, SQL, NoSQL (JSON, MongoDB, Neo4J), ETL programs (Pentaho, Knime), Mathematika, SPSS, Eviews, Lingo, Lindo. Coding for more than 5 years.
Mathematics and statistics applied to economic analysis. Micro, macro and financial econometrics. Forecasting, linear and nonlinear programming, seasonal adjustment, mathematical modelling, probability and risk modelling, partial effect estimations, policy evaluation, portfolio optimization, simulation exercises, identifying shocks and impulse response analysis.
Methodologies: Monte Carlo Simulations, ARIMAX, VAR, SVAR, VECM, Local Projections, GARCH, Copulas, Mean-Variance Portfolio selection, Dynamic Factor Models (DFM), Principal Component Analysis (PCA), OLS, GLS, IV estimations, Diff and Diff, Multinomial Logit and probit, TBATS, STL, TRAMO-SEATS, X-11, X-13, Lasso, Ridge, Support vector machine (SVM), Neural Networks, Random forest, Decision Trees, mathematical optimization of multivariable functions (Lagrange, Kuhn–Tucker, Simplex algorithm), Natural language processing.
Every step of the process: Define research question or identify business problem, collect/query and process/clean data, analysis and visualization, modelling (build and validate different models, evaluation to choose the best performing models), write and communicate the results.
Communication skills: Experience giving presentations and teaching.
Experience teaching coding in Python and R.
Research skills: Ability to comprehend the scientific literature, apply the latest techniques, and write research papers.
Experience working with every kind of data: Cross-sectional, time series, panel data, and textual data.
Experience working with high-frequency data.
Experience working with data from the newspapers (Factiva) and social media (snscrape python library).
Experience performing sentiment analysis over textual data. Classify text as positive or negative. I can keep track of people's opinions over time about any topic, state, firm, etc. Machine learning and rule-based models.
Writing advanced reports and making professional presentations using LaTeX.
Spanish: Native speaker.
English: Advanced.
Best academic record of the Faculty of Business Sciences for the 2018-2019 academic year. University of Pablo de Olavide. (Click here and here for related articles).
Seville Economy Olympics 2015: 3rd position. (Click here for related article).
I graduated with honors in 14 subjects: Statistics I and II, Macroeconomics II, Mathematics II, History of Economic Analysis, Economic History, Econometrics, Labor Markets, Monetary Policy and Financial Markets, Fiscal Policy, Behavioral Economics, Business Creation and Innovation Management, Collective Decision-Making, and Macro-Econometrics.