Imej profil anaruiza
@anaruiza
Penanda Colombia Medellin, Colombia
Ahli semenjak 4 April 2017
0 Cadangan

anaruiza

Dalam Talian Luar Talian
I am a native Spanish speaker with English proficiency. I have worked on English to Spanish translations of several historical books. Some of the topics that I have translated are Maya civilization, Jackie Kennedy, and Mao Zedong's biographies. I love the study of the language, I am an avid reader and, hence, I have a wide vocabulary and excellent spelling and grammar of Spanish. I am also a resourceful and detail oriented person, and I will be able to deliver high quality and accurate translations.  I have a Bachelor in Mathematical Engineering and a Master's degree in Engineering. I worked five years as a research assistant and I have used LaTeX to publish mathematical research papers with a huge amount of equations, figures, tables and references on scientific journals. Recently, I have been working on the transcription of Math content and many diagrams using LaTeX and Tikz package. I have a great programming logic and great skills to solve mathematical problems.
$14 USD/hr
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0.0
  • N/AKerja Diselesai
  • N/AMengikut Bajet
  • N/ATepat Pada Masa
  • N/AKadar Ulang Upah

Portfolio

Ulasan Terkini

Tiada ulasan.

Pengalaman

Asistente de investigación

Jan 2011 - Aug 2016 (5 years)

Asistente en proyectos de investigación relacionados con minería de texto, minería de datos e inteligencia computacional utilizando Matlab. Research assistant on projects related with text mining, data mining and machine learning using Matlab.

Pendidikan

Ingeniería matemática

2003 - 2008 (5 years)

Penerbitan

Information retrieval on documents methodology based on entropy filtering methodologies

In this work the authors are dealing with identifying the most informative piece of data on a collection of documents, in order to obtain the best result on a posterior fuzzy clustering stage. The aim is to find similarities between the documents and a reference target, to establish relationships related to a non-literal feature. We propose to apply the well-known entropy term weighting scheme and then show a posterior different procedures to the right election of the interest data.

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