Skills

R

(this webpage has been developed using RStudio)

Python

git

Descriptive analysis

Statistical plots and tables

Survey design

Design and tabulation

Data bases

Development and debugging

Forecasts

Time series analysis, regression models and classification

Multivariate analysis

Dimension reduction and clustering

Data Mining

Sentiment analysis and text mining

Experience

 
 
 
 
 

Professor

University of Costa Rica

May 2018 – Present San José, Costa Rica
  • R Programming
  • Probability and Statistics I
 
 
 
 
 

Demographic analysis professional

National Institute of Statistics and Census

Feb 2018 – Present San José, Costa Rica
  • Population projections
  • Automation of processes and debugging of databases
  • Migration of processes in SPSS to the R language
 
 
 
 
 

Customer satisfaction analyst

Supreme Court of Justice of Costa Rica

Feb 2016 – Dec 2016 San José, Costa Rica
  • Quality Service Perception Survey Design
  • Interviewer training
 
 
 
 
 

Teaching and research assistant

University of Costa Rica

May 2013 – Nov 2016 San José, Costa Rica
  • INISA: Nutrition and Parasitic Situation on Costarrican Children (2016-2017)
  • Public Politics and immigration interrelationships (2015)
  • Statistics for Social Sciences (2014 – 2016)
  • Introduction to Statistics (2014 – 2016)
  • Probability and Statistical Inference (2013 – 2014)

Reconocimientos académicos

Data Science

See certificate

The Unix Workbench

See certificate

Data Science Capstone

See certificate

Developing Data Products

See certificate

Geographic Information Systems applied to Statistics (21 hours)

Exponent and assistant (40 horas) at VII E.I.E.P.E.

Statistical programming with SQL (32 hours)

Methods and aaplications RDS – Respondent Driven Sampling (16 hours)

Modern methods of tratment and imputation of missing data (12 hours)

Practical Machine Learning

See certificate

Reproducible Research

See certificate

Statistical Inference

See certificate

Regression Models

See certificate

Statistical Inference

See certificate

Exploratory Data Analysis

See certificate

Getting and Cleaning Data

See certificate

Getting and Cleaning Data

See certificate

R Programming

See certificate

The Data Scientist’s Toolbox

See certificate

First Latin American School of Bayesian Statictics (24 horas)

Statistical Programming with R (16 hours)

Exponent at Statistic’s Students Academic Symposium

First central american Symposium of Bayesian Statistics (14 hours)

First School of Big Data an Statistics (16 hours)

Exponent at Statistic’s Students Academic Symposium

Time Series Analysis (16 hours)

Recent Posts

The tapply function in data analysis.

The apply function to multidimensional data.

The eapply(), rapply() and mapply() functions in data analysis.

The lapply(), sapply() and vapply() functions in data analysis.

This post follows to show how to use the inspectdf package for data analysis

Recent & Upcoming Talks

This course consists of sixteen hours, divided into four sessions of four hours each. The purpose of the course is to provide the …

This course consists of sixteen hours, divided into four sessions of four hours each. The purpose of the course is to provide the …

This course consists of sixteen hours, divided into four sessions of four hours each. The purpose of the course is to provide the …

The School of Statistics is pleased to invite you to the following talks and free workshops that will be taught by Ing Ruiz de R Studio …

Contact

ORCID iD iconhttps://orcid.org/0000-0001-6733-4759