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@ishidalgo
Bandeira de Spain Toledo, Spain
Membro desde 23 de maio de 2014
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ishidalgo

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I am an experienced Data Scientist looking to be hired. For the past few years I have worked in the areas of data mining, analytics and forecasting. I'm a Excel expert (see my portfolio). If my qualifications are suitable for you, please consider me for your next job or project.
$40 USD/hr
7 comentários
4.3
  • 100%Trabalhos concluídos
  • 100%No Orçamento
  • 100%Pontualmente
  • 25%Taxa de Recontratação

Portfólio

Comentários recentes

Experiência

Statistician

Jan 2010

Looking for employment sources in labour market by combined technologies of time series, data mining and machine learning

Advisor

Jun 2009

SWOT Analysis, Strategic Planning and Public Relations in great working environment with other awesome volunteers

Head in Rural Development

Sep 2000 - Dec 2009 (9 years)

Strategic Planning of Rural Development Politics. Application of Rural Development Politics Team Coordination

Educação

Food Science

1989 - 1994 (5 years)

Qualificações

Learning from Data (Machine Learning) (2013)

Caltech

In the top 9.73% of Caltech reference database of participants

Machine Learning (2013)

Stanford University

100% score

StatLearning Statistical Learning (2014)

Stanford University

98% score

The Analytics Edge (15.071x) (2014)

edX

93% score

Computing for Data Analysis (2013)

Coursera

100% score

Data Analysis (2013)

John Hopkins University

Introduction to Computer Science and Programming Using Python (2014)

MIT

Course 6.00.1x (edX)

Introduction to Computational Thinking and Data Science (2014)

MIT

Course 6.00.2x (edX)

An Introduction to Interactive Programming in Python (2013)

Rice University

Coursera platform

Top prize in VI Contest (1993)

Agriculture Engineers Official Association of Catalonia

Top prize in 94'Contest (1994)

Spanish Weed Science Society (SEMh)

See [login to view URL]

Publicações

Intelligent multimedia system tool for visual weed identification

An intelligent multimedia tool for identifying weeds was developed in order to facilitate weed identification in the seedling stage. The identification is based on a visual image approximation method and it is implemented using multimedia, hypertext, object oriented design and knowledge based technologies. The method of image approximation is based on a progressive approach to the actual seedling through a sequence of images with increasing definition. The implementation of this method has required the des

Certificações

  • Numeracy 1
    98%
  • US English Level 1
    90%

Verificações

  • Conectado com o Facebook
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Minhas habilidades principais

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