Sample unite: Jaime Enrique Lincovil Curivil

PERSONAL DATA

• Phone/WhatsApp: +56 9 30178638.
• Linkedin: Linkedin page.
• Github: @jelincovil.
• E-mail: outliersj@gmail.com.
• Location: Santiago, Chile.

ABOUT ME

I implement econometric forecasting models, Monte Carlo and Bootstrap statistical tests and databases. I mainly focus on predicting and assessing market risk measures, high dimensional data, data derived from clinical studies. Academic of statistical methods for engineering with R, Python, Power BI and SQL.

JOB SKILLS

• Forecasting and assessment of risk measures in econometrics.
• ML with Python.
• Management of cloud Linux server.
• Extract-Transform-Load (ETL) with AWS Glue.
• Database management with SQL.
• Data visualization with Microsoft Excel and Power BI.
• Programming with R.
• Parallel computing optimization

EDUCATION

• 2021- $\infty$ | Data Science especialization in Data Science Academy
• 2015-2019 | PhD. in Statistics. University of São Paulo, Brazil.
• 2013-2015 | MSc. in Statistics. University of São Paulo, Brazil.
• 2006-2011 | Bachelor's degree in Mathematics and High Education. Catholic University of Temuco, Chile.

WORK EXPERIENCE

10/2022-12/2022 | Databases creation, analysis in Power BI y methodological measurements guide to clinical experiment GitHub link. Data analyst in Instituto Teodoro Wickel.

03/2022-09/2022 | Network representation of interactions in Instagram and Facebook with Python and R. GitHub link. Data analyst in Fundación Multitudes.

2020 - currently | Building R shiny app to visualization of probability distribution. Building of databases in GitHub about private and public investment in Chile (2009-2020) R Shiny app link. Part time profesor en UCT/Umayor.

2021-2022 | Training of SARIMA model in Python to forecast future values of MP2.5 levels Google Colab link. Coadvisor for Master Applied Mathematics in UCT.

2021 | R programming of wavelet based estimator of curves and Functional ANOVA based on quase U-statistics. Creation of databases of grouped functional data. Parallel computing optimization. Post doctoral fellowship in University of Campinas, Brazil.

2019-2020 | Cluster analysis and multinomial regression in R to classify students in groups according to their food behavior Google Colab link. Advisor consultor at Master Physical Education.

2015-2019 | Proofs and representations of statistical principles. PhD in University of Sao Paulo, Brazil.

RESEARCH INTEREST

• Econometric and Biometric.
• Functional Data and High Dimensional Data.
• Analysis of scalable databases in R and Python.

PUBLISHED SCIENTIFIC PAPERS

• Lincovil, J. E., \& Chiann, C. (2019). \textbf{Assessing value-at-risk and expected shortfall predictions}. Brazilian Review of Finance, 17(4), 56--76. Link

TEACHING EXPERIENCE

• Probability and Statistics / Introduction to Statistics. Lecturer at Catholic University of Temuco, 2020-2022, Temuco-Chile.

• Probability and Statistics / Statistical Inference. Mayor University, 2020-2021, Temuco-Chile.

• The Chilean data route: a journey through the main public data repositories in Chile. 2022, Public sector of Chilean Government.

CONFERENCES AND WORKSHOPD

• Presentation of the poster ``Relationships between the principles of likelihood, sufficiency and conditionality''. Brazilian Meeting on Bayesian Statistics - 2016. Minas Gerais, BH - Brazil.

• Poster presentation entitled ``Hypothesis test for the evaluation of forecasts of the Value at Risk''. National Synopsis of Probability and Statistics (SINAPE) - 2016. Porto Alegre, RS - Brazil.

• Presentation of the poster ``Statistical reports that preserve statistical relationships''. Brazilian Meeting of Bayesian Statistics - 2018. IMPA, RJ - Brazil.

AWARDS

• Travel Awards for best poster presentation. International Society for Bayesian Analysis (ISBA).