Carlos Alfredo Torres Cubilla

Carlos Alfredo Torres Cubilla

Data Scientist

Banco General

Biography

Carlos Torres is a Data Scientist at Banco General. His role is to create machine learning models that increase profits and sales of various products.

He obtained his Bachelor’s of Science and Master’s Degree at the University of Salamanca where he studied statistics, programming, and machine learning, and participated in extracurricular activities, volunteering and internships.

Carlos is currently focused on expanding his knowledge in Data Science and building a career as a researcher parallel to his career as a Data Scientist.

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Interests
  • Statistics
  • Artificial intelligence
  • Machine learning
  • Programming
Education
  • Master's Degree in Advanced Analysis of Multivariate Data and Big Data, 2020

    University of Salamanca

  • Bachelor's degree in Statistics, 2019

    University of Salamanca

Skills

Python
R
Git
AWS
SQL
Teamwork
Markdown
HTML

Experience

 
 
 
 
 
Banco General
Data Scientist
Jan 2021 – Present Panama City, Panama

Responsibilities include:

  • Working holistically with data engineers and other data scientists
  • Performing ETL processes
  • Producing and developing Machine Learning models with Python
  • Visualizing and presenting results of financial analysis
 
 
 
 
 
STAT-UP
Data Science intern
Feb 2020 – Apr 2020 Munich, Germany

Responsibilities included:

  • Structured data in R with the Tidyverse environment
  • Analyzed and prepared data from various sources e.g. politics, financial, personal data
  • Created interactive HTML reports with R for reporting statistical analysis
 
 
 
 
 
Department of Statistics of the University of Salamanca
Statistic intern
Sep 2018 – Jan 2019 Salamanca, Spain

Responsibilities included:

  • Instructed students from various fields on how to use statistics in their work
  • Assisted teaching and observed best practice

Projects

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SparseBiplots

SparseBiplots

R package that performs the HJ-Biplot and modifications introducing Ridge, LASSO and Elastic Net penalty.

Covid-19 in Castilla & Leon

Covid-19 in Castilla & Leon

Web app to visualize the epidemiological status of COVID-19 in Castilla & León, Spain.

PyBiplots

PyBiplots

Python library that performs the classic biplots methods.

HackForGood 2019

HackForGood 2019

Project carried out to solve the challenge of Artificial Intelligence for the improvement of the Health System.

Recent Publications

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(2021). Sparse HJ Biplot: A New Methodology via Elastic Net. Mathematics, 9(11).

Cite Project Journal DOI PDF

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