Data Science and Big Data

Area description

In this area of expertise we include:

  Data engineering:

  • Big Data Architectures: End-to-end ecosystem (intake, storage, services), Data Lakes, Cloud
  •  Non-relational repositories (NOSQL): key values ​​(scalability), document stores (flexibility), graph databases (topologies), streaming (real time)
  • Operationalization of data governance: generation, maintenance and processing of metadata, mass data management, data security, monitoring (static and real-time)

 Data analysis:

  • Dashboarding and data visualization
  • Predictive and classification models
  • Natural language processing (NLP)
  • Computer Vision (CV)
  •  Advanced artificial intelligence (Deep Learning) in different areas

 

 

 

 

 

 

 

 


 Services:

  • Big Data architectures for the exploitation of information (lambda, kappa...) and frameworks for mass data processing: Spark, Flink, Beam...
  • Custom Data Lakes for different Cloud providers (Google, Amazon and Azure)
  • Semi-automatic data governance processes, data catalogs, pre-processing and data preparation
  • Specialized NOSQL repositories: MongoDB, Neo4j, Cassandra, HDFS + Hbase + Spark (and the rest of the Hadoop ecosystem), ...
  • Machine learning models (association rules, supervised linear methods, neural networks, support vector machines, decision trees / randomized forests, clustering, ...)
    • Classification and regression
    • Prediction algorithms
  • Specific machine learning models: natural language processing (NLP), processing of time series, image Processing / Computer Vision (CV).
  • Software and model development environments: Mllib, TensorFlow, Pytorch, Keras, scikit-learn, notebooks (Zeppelin, Jupyter)…
  • Calculation of indicators (KPIs), dashboards and data visualization. Use of Business Intelligence tools for graphical representation of descriptive analysis
  • Construction of real-time analytics (complex-event processing, streaming analytics)

 

Projects related with this expertise

September, 2021 - August, 2024
July, 2020 - December, 2021
NIAID, CC BY 2.0 <https://creativecommons.org/licenses/by/2.0>, via Wikimedia Commons
November, 2017 - January, 2018
July, 2017 - January, 2018
OSM maps
June, 2017 - October, 2017
big data image
December, 2014 - December, 2015
December, 2013 - June, 2015
Learning analytics : Learning from how we learn
January, 2013 - August, 2014
January, 2009 - December, 2012
Snow
January, 2010 - July, 2012
Diagram
February, 2008 - November, 2010
Improving Education

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