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 ABOUT ME  /  PROFILE


 DATA SCIENCE AND STATISTICS CONCENTRATION AREAS

  • Data Science and Applied Statistics.
    Data Science. Machine learning. Data munging / wrangling. Classics statistical multivariate methods. Predictive models. Clustering. Regression. Classification and Scoring. Mapping (Analytics, Preference).
  • Data Science and Applied Statistics Computational Tools.
    R-project. Python. SAS (Base). Power BI (Desktop). Tableau (Desktop / Public).
  • Data Visualization and Graphics.
    General, dynamic and geospatial visualization. Dashboards.

 ADDITIONAL ASSETS

  • Language skills.
    English. Spanish.
  • Database Administrators.
    R-data management. R/BigData [medium-scale data]. Python-data management. Python/BigData [medium-scale data]. SAS-SQL. MySQL. MS-SQL. SQLite. PostgreSQL.
  • Other IT skills already known or learning.
    Html. CSS. PHP. Julia. Latex. MathJax. Maple. Mathematica. Matlab. Scilab. Google stuff (Charts, Forms, Maps, Drive, Analytics, Cloud). Eviews. Gretl. XLSTAT. SPSS. Amazon (AWS-RDS). Weka.

 EDUCATION

  • Data Science.
    Self taught (Autodidact).
    Different projects developed by me linked to areas of machine learning, data analytics, and Visualizations. I am always learning something new in this awesome field of development.
  • Master of Science in Statistics.
    Pontificia Universidad Católica de Chile, conferred September 2002.
    Thesis work: A multivariate logistic regression application to get a social-economics classification index.
  • Statistician.
    Universidad Austral de Chile, conferred July 1984.
    Thesis work: An implementation of a Statistic Quality Control Inspection Procedure using a mixed simple sampling method to be used in dairy products.
  • Bachelor of Science in Statistics.
    Universidad Austral de Chile, conferred July 1984.

 Hector Alvaro Rojas   /   Data Science, Visualizations and Applied Statistics.