Ibon Reinoso

In short, I am passionated about computers, new technologies and solving problems. I strongly believe in the use of the technology for the benefit of humanity.

Actually CEO of Basque Analytics_ .

General Info

  • Date of BirthMay 10, 1994
  • Address Bermeo (Biscay, Spain)
  • E-mailibonreinoso@opendeusto.es

Work Experience

  • 2019 (Jun-Now)

    Basque Analytics_


    Focussed in team and project management. Also working as Big Data and Artifical Intelligence developer (also known as Data Scientist).

    Our team is specialized in React and Node for our solutions (in detail, MERN Stack: Mongo - Express - React - Node). In Artificial Intelligence context, we are specialized in Computer Vision.

  • 2019 (May-Jun)

    🏊‍♂️🏊‍♂️ Big Jump Into entrepreneurship 🏊‍♂️🏊‍♂️

  • 2018-2019 (Sep-May)

    Lantek - Tecnological park of Vitoria-Gasteiz

    Data Analyst and Developer

    I worked as Data Quality process designer. Then, I developed automated process for Data Quality Measurement (Python, Ataccama, Excel).

    Apart from that, I made a Speech in International Meeting 2019 (Lantek, Data Quality) and worked as trainer.

    Also I worked with KPI design and ETL processes. Mainly with Azure, Kettle-Spoon, Git and SQL technologies.

  • 2018 (Jun-Sep)

    IKUSI - Tecnological park of Gipuzkoa (Donostia)

    Data Scientist Junior

    Mainly, I focussed in proposing ideas in the Data Science, more concretely, in aeronautical sector. I did lecturing and proposing idea stage, data exploratory analysis, manipulation and data cleaning tasks mostly. The tools I used were R (for data analytics) and sublime (data manipulation (SQL, CSV) using regEx).

  • 2018 (Mar-Jul)

    University Deusto - Eroski Collaboration

    Big Data Developer

    Project: DUERO Churning Problem. I used R for analytics and model deployment, Shiny module for Dynamic Web Dashboards. I also worked with Hortonworks 2.6 (HDP) for Hive Queries. I worked as lecturer too. Mainly in Linux Servers with Ambari.


  • 2018-2019

    Master in Computer Science

    University of Deusto

    Thanks to this period, I learned a lot about Project and Team Management. Also I learned a lot about Administration and Business, my favourite lessons definitely.

  • 2018

    Master in Big Data & Business Intelligence

    University of Deusto

    At this stage, I felt in love with Big Data. I learned Big Data technology and architectures (some examples: R, Spoon-Kettle, HortonWorks, AWS). I also learned a lot about Machine Learning algorithms (both supervised and unsupervised, such as Naive Bayes, KNN and Neural Networks).

  • 2011-2015

    Degree in Computer Science

    University of Deusto

    Here I learned the fundaments of Computer Science. My favourite subjects where Design & Systems Architecture, Programming, Web Development, Statics, Ubiquitous Computing and IOT Development.