Experience

Universidad Francisco de Vitoria

• Spain
• Higher Education
• 700 & Above Employee

• Big Data and Machine Learning University Professor

  • Oct 2022 - Present

  Machine Learning Supervised Learning Algorithms: Linear Regression (Gradient Descent, Stochastic Gradient Descent, Lasso, Ridge, Logistic Regression, Metrics ROC-AUT, BIC, Decision Trees, Random Forests, SVM, Deep Learning with Neural Networks Unsupervised Learning Algorithms: Clustering, PCA Practices focusing on Python, using packages such as Scikit Learn and Tensorflow 2 with Keras along with helpers like Pandas, Numpy, MatPlotLib, Seaborn. Intensive use of Jupyter notebooks and Pycharm. Practices using Colab and Kaggle are also in the scope Big Data Introduction to Distributed architectures focusing on Cap Theorem, Microservices techniques, Domain Driven Design, Isolation Techniques (Circuit breakers, bulkloading etc...) Consistency vs Availability design. Hadoop ecosystem (HDFS, Hive, Pig, Sqoop, Zookeeper, HBASE, Flume, ...) Spark, Spark SQL focusing on PySpark with some introduction to Scala Cassandra, Redis and Mongo to introduce NoSQL design concepts App deployment with Kubernetes / Docker, introduction to Terraform Real Time with Apache Kafka, Kafka Streams Introduction to the high Level with Apache Beam using Dataflow The course focus on the use of GCP with collaboration from Google serving some materials, main programming language is Python but introductions to other languages such as Java are in the scope. Show less



Pragsis Bidoop

• Spain
• Information Technology & Services
• 1 - 100 Employee

• • Aug 2015 - Present

  I am working with the Big Data department of a Leading Insurance company as a link with BISpark GraphX to solve using Pregel analytical graph problems deeply dificult to solve with mapreduce.Pig, to reduce SAS process times from 17 hours to less tan 1 hour, for many of the workflows I created several UDF with diferente purposes. We used Tez as an engine to accelerate Pig and Hive.In order to acomplish all the issues we work against a Yarn cluster with 52 cores in development and 124 cores in production.In this momento we are using Hive Metastore in order to save the most of the results while using also Neo4J in order to have a graph to do certain queries.Google Analytics, I worked on a Maven Project to automate the use of our Google Analytcs infrastructure, using Spring in order to make Java code more modular. Show less

• • Oct 2014 - Aug 2015

  Textile sector automation projectProject for a big textile manufacturer in Spain. In the logistic chain we ingested with Apache Flume the information that sensors emitted. With a business logic tool we were able to predict mechanical failures in the system and take actions before failures happened. We used a 40 nodes cluster Human Resources IT selection helperWe used Github information in order to measure the quality of different programmers worldwide.In this project we worked with Spark to analyze data in the HDFS by means of the PageRank algorithm. The idea was using that algorithm to score different programmers the same way Google scores different webpages.For presentation matters I used logstash, Elasticsearch and Kibana.I did an intense training inside the company working with the following technologies mainly using the Cloudera distribution,Hadoop:deeplyMapreduce: We worked in depth with several use cases.Pig: We work some days with this frameworkHive: We covered it widely.Flume: We also had a profound use of the Flume framework working with several use cases.Sqoop: We used sqoop for the basic cases of moving data from RDBMS to HDFSOozie: We used Oozie to automate workflowsHBASE: We used HBASE in the final project in order to present the final information to the user.Spark: We covered spark thoroughly using Python and Scala as languages instead of Java.Kite SDK and Crunch: We work some days with this frameworks that try to abstract a little over the mapreduce and Hadoop uses.Final project consisted in analyzing data gathered by means of the Piwik Data Analytics crowler which first we had to understand in order to decide how to deal with the data. Then we move the data from MySQL to the HDFS and with help of Mapreduce and Hive we answered the questions we were asked for. Then we presented the results in HBASE.We automated all the process by means of Hue using an Oozie workflow.We also introduced Hadoop Hortonworks distribution Show less



U-tad

• Spain
• Higher Education
• 100 - 200 Employee

• Cryptograhy, Digital Entrepreneurship and Expert in Big Data Masters

  • Jan 2014 - Jan 2015

  Elasticsearch, logstash, kibana -Course by Elasticsearch commiters in NYC Wall Street area Masters Degree Expert in Big Data - Big Data Skills: Spark, GraphX, Hadoop, MapReduce,HBASE, Cassandra, Mongo, redis, Kafka. Flume, Pig, Kettle, Hive, Storm, Lucene, Sqoop, Apache Giraph, Neo4J, Tez, Kite, Crunch. - Languages used: Java (Maven,design patterns, EJB), Python, Scala - Data Analyst Skills: R Programming, Data Mining, Clustering, Time Series, Neural Networks, The main languages we used were Java, mainly Maven projects, Python and Scala (for Spark), a little of Clojure for Kafka. Expert Degree in Cryptography and Security - Ethical Hacking - Cryptography: DES, 3DES, AES, SHA-1, SHA-2, SHA-3, MD5 - Use of Cryptography: Certification Protocols, e.mail encryption Digital Entrepreneurship (I gave a talk to 50 European people about DE) -Lean UX -e-commerce Show less



Fluideco Equipos Industriales

• Spain
• Industrial Machinery Manufacturing
• 1 - 100 Employee

• Business Development, Project Manager, Strategic Analisys

  • Jan 2011 - Jan 2014

  Chemical Dosing Systems for Power Industry and other industries. Commercial Management Marketing Business Development Project Manager in: - liquid liquorice dosing system for Cadbury - Resin dosing system for Onduline Moscow Project procurement and assistance to the manager: Chemical injection package for Cycle and Tower in: • Navoi 474 MW Power Plant in Uzbekistan for Çalik • Deir Ali 701 MW Power Plant in Syria for Metka Chemical Dosing Systems for Power Industry and other industries. Commercial Management Marketing Business Development Project Manager in: - liquid liquorice dosing system for Cadbury - Resin dosing system for Onduline Moscow Project procurement and assistance to the manager: Chemical injection package for Cycle and Tower in: • Navoi 474 MW Power Plant in Uzbekistan for Çalik • Deir Ali 701 MW Power Plant in Syria for Metka



FICAP SW

• CEO

  • Aug 2010 - Dec 2012

  Dirección Estratégica Desarrollo SW propósito General Márketing Corporativo Internet y Nuevas Tecnologías Dirección Estratégica Desarrollo SW propósito General Márketing Corporativo Internet y Nuevas Tecnologías



Freelance

• Nueva York y alrededores, Estados Unidos

• Business Development for a family office

  • Nov 2009 - Jan 2011

  Generated new development deals for a real estate development company that focuses on multi-family residential projects, including real-estate market analysis Generated new development deals for a real estate development company that focuses on multi-family residential projects, including real-estate market analysis



SEPSA

• Spain
• Truck Transportation
• 200 - 300 Employee

• Commercial Team Member at SEPSA/ALBATROS

  • Nov 2005 - Jul 2009

  Albatros is a Spanish corporation within the Rail Stock Industry. Albatros is a Spanish corporation within the Rail Stock Industry.



BGS Consulting

• Hospitals and Health Care
• 1 - 100 Employee

• Consultor Junior

  • Jan 2003 - Jul 2004

  Technical Analysis. We were selling computing development consulting to large companies with needs in Data Mining Technologies. Technical Analysis. We were selling computing development consulting to large companies with needs in Data Mining Technologies.



Telefónica

• Spain
• Telecommunications
• 700 & Above Employee

• Engineer

  • Jan 2001 - Aug 2002

  - I was involved in the testing equipment in a joint venture project in collaboration with Indra with Telefónica de España as the main customer. We were responsible for apply the Quality Management System of Telefónica de España S.A. to test every procedure and the whole system. We were working in conjunction with other teams for a total of 300 people involved in this project. With this size this was a star project for Telefónica Research and Development. - I was the technical responsible for the creation of an online controlled distributed database for the management of the Quality in Telefónica Show less