Collaborated in a psycholinguistic study, where I performed the pre-processing and statistical analyses of eye-tracking data.

• Tutored undergraduate and graduate courses: Engineering mathematics, Generalised regression models, Statistical consultancy, Probability, Time series, Statistical learning, Applied statistics, Introduction to data science, Bayesian theory, Multivariate data analysis, Bayesian data analysis and Statistics.• Moderated constructive teamwork and discussion during the workshops.• Helped students to solve their questions.• Trained students to apply statistical concepts in R.•… Show more • Tutored undergraduate and graduate courses: Engineering mathematics, Generalised regression models, Statistical consultancy, Probability, Time series, Statistical learning, Applied statistics, Introduction to data science, Bayesian theory, Multivariate data analysis, Bayesian data analysis and Statistics.• Moderated constructive teamwork and discussion during the workshops.• Helped students to solve their questions.• Trained students to apply statistical concepts in R.• Supported students to complete math exercises. Show less

• Audited the analyses of the Teacher's Professional Service (TPS) exams (over 50 exams) derived from the Educational Reform in Mexico (2012-2018).• Reviewed and implemented the technical guidelines previously referred in the law for the quantitative evaluation of the TPS exams.• Assisted in identifying and selecting items for basic education teacher admission, permanence, and promotion exams.• Developed statistical and machine learning models, including structural equation models… Show more • Audited the analyses of the Teacher's Professional Service (TPS) exams (over 50 exams) derived from the Educational Reform in Mexico (2012-2018).• Reviewed and implemented the technical guidelines previously referred in the law for the quantitative evaluation of the TPS exams.• Assisted in identifying and selecting items for basic education teacher admission, permanence, and promotion exams.• Developed statistical and machine learning models, including structural equation models, regression and classification models, as well as nonparametric methods, to improve decision making.• Performed a data storytelling approach for stakeholders based on technical reports and visualizations of the most significant findings of the exams analyses.• Served as a consultant to academic areas and advised policymakers on key decisions based on results. Show less

• Audited the analyses of academic and professional exams using classical test theory (CTT), item response theory (IRT), and confirmatory factor analysis to estimate their psychometric characteristics (e.g., facility, discrimination, validity, and reliability).• Contributed to the research and development of innovative studies, such as computerized adaptive testing, analysis of judges severity in rubrics, dimensionality analysis, and response times.• Automated processes and implemented… Show more • Audited the analyses of academic and professional exams using classical test theory (CTT), item response theory (IRT), and confirmatory factor analysis to estimate their psychometric characteristics (e.g., facility, discrimination, validity, and reliability).• Contributed to the research and development of innovative studies, such as computerized adaptive testing, analysis of judges severity in rubrics, dimensionality analysis, and response times.• Automated processes and implemented functions in R for scoring and analyzing tests using CTT, IRT, distractor analysis, reliability, and test equating, among others. Later, these functions became the basis of a software application now in use.• Provided statistical and psychometrics training to staff through courses such as CTT and IRT. Show less

• Lectured the courses “Stochastic processes” and “Statistics”.• Taught the main stochastic processes such as random walks, Markov chains, Poisson processes, Martingales and Brownian motion.• Trained students to simulate stochastic processes in R.• Taught basic concepts in inferential statistics, nonparametric statistics, linear regression analysis and Bayesian inference.• Provided students with the skills to apply statistical concepts to real-world data in a variety of… Show more • Lectured the courses “Stochastic processes” and “Statistics”.• Taught the main stochastic processes such as random walks, Markov chains, Poisson processes, Martingales and Brownian motion.• Trained students to simulate stochastic processes in R.• Taught basic concepts in inferential statistics, nonparametric statistics, linear regression analysis and Bayesian inference.• Provided students with the skills to apply statistical concepts to real-world data in a variety of applications, including finance, medicine, and hydrology. Show less

• Participated in the SAS programming of a credit risk data mart at Banco Santander, which included cleaning and transforming the data and computing credit indicators.• Contributed in the SAS programming of a credit scoring model for Grupo Financiero Banorte-IXE, which involved manipulating large data sets, fitting generalized linear models, assessing goodness-of-fit, and predicting default risk.

• Implemented a collective risk model that evaluated the impact of news in the bank’s reputation.• Conducted statistical analyses, such as linear regression and time series models, that assessed the bank’s systematic risk (i.e., the investment risk of the gold reserve).• Wrote weekly monetary policy reports of the main worldwide central banks of several financial risk indices, e.g., default probabilities and benchmark interest rates.