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Skills

  • Business Intelligence
  • Deep Learning
  • Machine Learning
  • Microsoft SQL Server
  • Microsoft SQL SSRS
  • Microstrategy
  • Modeling
  • Multidimensional Expressions (MDX)
  • Multidisciplinary Design
  • Power BI
  • Predictive Modeling
  • Python
  • SQL Server Integration Services (SSIS)
  • SQL Server Reporting Services (SSRS)

Services

  • Business Intelligence Data Engineer

    $25/hr Starting at $100 Ongoing

    Dedicated Resource

    I have experience as Data Analyst and BI Architest with Microsoft SQL Server (SSAS, SSRS, SSIS). Python and C# for the back_end. Multidimensional Models Tabular models Reporting SSRS Power BI microStrategy...

    Business IntelligenceMicrosoft SQL ServerMicrosoft SQL SSRSMicrostrategyMultidimensional Expressions (MDX)

  • Machine Learning Predictive Modeling

    $25/hr Starting at $25 Ongoing

    Dedicated Resource

    Design Machine Learning modes to classify or predict facts data based. AlgorithmsTrainer Deploy the modeling in production environments and Apps.

    Deep LearningMachine LearningModelingPredictive Modeling

About

BI DATA ENGINEER (BI & Machine Learning)

Currently, I work as head of the business intelligence platform at spanish public health services. I apply data mining and business intelligence to improve the control and quality of health.
I'm focus in my PhD at University of Jaen (Spain) inside the SINBAD2 researching team (Intelligent System Fuzzy Logic Based).

I have experience as Data Analyst and BI Architest with Microsoft SQL Server (SSAS, SSRS, SSIS). Python and C# for the back_end.I received a B.Sc.in Computer Science from the University of Jaén, Spain and M.Sc. in Computer Science from the University of Cordoba, Spain, in 2006 and 2016, respectively. I'm working in the Andalusia Health Service as health Data Analyst Engineer since 2011 and BI platform administrator for Inditex since 2017 (La Coruña, Spain). My research interest are focus in intelligence systems, machine learning, fuzzy logic and big data.

Work Terms

Full time (40h / week)