Fernández Meléndez, Galina

Big Data Specialist
Information Technology School of Business
Experience

ETL processes, data mining, analysis and visualization; establishment of KPI's, design and implementation of Dashborad, management control, SQL management or development of predictive models are some of the procedures in which Galina Fernández Meléndez is a specialist.  

She has dedicated her entire professional career to the deepening of data analysis, working in different companies in Spain and Venezuela. All this knowledge has allowed her to develop informative work, participating as a lecturer at numerous international conferences and congresses on Business Intelligence.  

  • Big Data Specialist 
  • Data Analyst at Aresi Gestión de Fincas
  • Data Analyst at ADN Mobile Solution
  • Degree in Business Administration from the Bicentennial University of Aragua. Caracas, Venezuela
  • Postgraduate Certificate in Planning and Public Finance from the Venezuelan School of Planning.
  • Professional Master's Degree in Data Analysis and Business Intelligence from Oviedo University.  
  • MBA in Business Administration and Management from the European Business School of Barcelona.
  • Professional Master's Degree in Big Data and Business Intelligence from the European Business School of Barcelona. 
Programmes in collaboration with

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advanced master’s degree in Computer Science, Cybersecurity and Data Analysis
hybrid professional master’s degree in Data Science Management (DSO, Data Science Officer)
professional master’s degree in Data Science Management (DSO, Data Science Officer)
professional master’s degree in Data Science Management and the Data Science Officer
professional master’s degree in Corporate Technical Data Science Management
postgraduate diploma in Corporate Data Management
postgraduate certificate in Corporate Data Processing and Security
postgraduate certificate in Data Processing and Data Security in the Company
postgraduate certificate in Data Management
postgraduate certificate in Data and Information Management and Manipulation in Data Science
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I - J
K - L - M
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P - Q
R - S
T - U