Carlos Morente Lozano

Data Scientist at Cathedral Software
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Contact Information
us****@****om
(386) 825-5501
Location
ES
Languages
  • Spanish Native or bilingual proficiency
  • English Full professional proficiency
  • Русский Elementary proficiency

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Bio

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5.0

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Pedro Ferrer Gómez

Carlos is a person with excellent technical knowledge and a great teammate. He likes his work and has the ability to bring what he knows to people with a non-technical profile. The time shared with him has been great and it would be a pleasure to collaborate again in the future.

RAMON CARAZO

Efectividad es como definiría a Carlos. Cuando le planteas alguna tarea tipo automatización, entiende perfectamente los requisitos de la misma e incluso te recomienda mejores formas de hacerlo. Un placer poder trabajar con Carlos y ver como su trabajo impacta en los resultados de la organización. Una persona metódica y al mismo tiempo flexible a la hora de realizar mejoras en el trabajo realizado.

Lope Roa

Excelente compañero de trabajo, ha sido un placer trabajar con él. Metódico, analítico... Investiga bien la solución que te proporcionará. Disfruta en área de trabajo: Inteligencia Artificial.

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Credentials

  • Prevención de riesgos en puestos de oficina
    Quirónprevención
    Jun, 2019
    - Nov, 2024
  • SQL desde cero: Curso práctico
    Udemy
    May, 2019
    - Nov, 2024
  • Introduction to Python for Data Science
    Microsoft
    Nov, 2018
    - Nov, 2024
  • School of AI Deans
    School of AI
    Aug, 2018
    - Nov, 2024
  • Blockchain: modelos de negocio e introducción a la Criptoeconomía
    Blockchain España
    Dec, 2017
    - Nov, 2024
  • Certificado de idioma - English B1 (CEFR, Intermediate)
    FGUMA - Fundación General de la Universidad de Málaga
    Dec, 2017
    - Nov, 2024
  • Websphere Commerce V7.0 Course
    Mayoral Moda Infantil
    Jun, 2017
    - Nov, 2024
  • Machine Learning Foundations: A Case Study Approach
    Coursera Course Certificates
    Apr, 2016
    - Nov, 2024
  • MATLAB Academic Tour 2016: Machine Learning and Low Cost Hardware with Matlab
    The MathWorks
    Mar, 2016
    - Nov, 2024
  • TRUCE Summer School on Unconventional Computation
    Universidad de Málaga
    Sep, 2015
    - Nov, 2024

Experience

    • Spain
    • Strategic Management Services
    • 1 - 100 Employee
    • Data Scientist
      • Aug 2022 - Present

    • United States
    • Software Development
    • 700 & Above Employee
    • Twitch Affiliate / Streamer
      • Oct 2021 - Sep 2022

      I stream live on my Twitch channel, https://www.twitch.tv/kizawski. On this channel, we play and learn about a variety of topics, but we focus especially on games related to geography. I stream live on my Twitch channel, https://www.twitch.tv/kizawski. On this channel, we play and learn about a variety of topics, but we focus especially on games related to geography.

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • Data analyst
      • Feb 2022 - Jun 2022

      In this position I have worked in the generation and automation of internal reporting for the company, using Python, Excel and VBA. I have also worked providing technical support on data-related issues of the company. In this position I have worked in the generation and automation of internal reporting for the company, using Python, Excel and VBA. I have also worked providing technical support on data-related issues of the company.

    • Spain
    • Retail
    • 200 - 300 Employee
    • Data analyst
      • May 2019 - Jan 2021

      In this position I have worked in several areas, focusing on one hand on data analysis and on the other hand on data science. On the data science side, I have worked on several projects, trying to predict stocks using time series methods such as ARIMA or SARIMA, as well as price predictions and customer scoring. For this, mainly Python and SQL were used, making use of several libraries related to the field. In the data analysis part, my work consisted mainly in the analysis of new technologies that were implemented in the company, monitoring their evolution. To do this, data extractions were performed, which were the source of data in numerous automated reports using Python and Excel, to later automatically generate Powerpoint files with the data, graphs and conclusions generated.

    • Poland
    • E-Learning Providers
    • 1 - 100 Employee
    • Dean
      • Aug 2018 - Aug 2019

      I represent as dean and co-organizer the Malaga delegation of the School of AI, a global project in which more than 850 people participate throughout more than 450 cities. In this project we try to bring Machine Learning and Artificial Intelligence knowledge to the whole world for free, using talks, conferences, workshops, and much more. I represent as dean and co-organizer the Malaga delegation of the School of AI, a global project in which more than 850 people participate throughout more than 450 cities. In this project we try to bring Machine Learning and Artificial Intelligence knowledge to the whole world for free, using talks, conferences, workshops, and much more.

    • Spain
    • Spectator Sports
    • 300 - 400 Employee
    • Football referee
      • Aug 2017 - Aug 2019

      Football referee in andalusian divisions of youth football, both Football-7 (U6, U8, U10 and U12) and Football-11 (U14, U16 and U19). Assistant referee in andalusian and national divisions of Football-11 (U14, U16, U19 and Absolute). This position has helped me to learn to work in environments with a lot of pressure and under difficult situations while maintaining calm and professionalism. In addition, I have been able to learn to work with very diverse partners in small spaces of time, being able to both follow their orders and lead the team.

    • Spain
    • IT Services and IT Consulting
    • 200 - 300 Employee
    • Data scientist
      • Dec 2018 - Mar 2019

      In this position I have developed several machine learning models in Python using basic packages such as pandas, scikit-learn, numpy, matplotlib or tensorflow. During this time I have done very different projects, such as detecting anomalies in financial systems in both supervised and unsupervised environments, developing a hierarchical top-down clustering algorithm or decomposing time series using methods such as seasonal_decompose or ARIMA. In this position I have developed several machine learning models in Python using basic packages such as pandas, scikit-learn, numpy, matplotlib or tensorflow. During this time I have done very different projects, such as detecting anomalies in financial systems in both supervised and unsupervised environments, developing a hierarchical top-down clustering algorithm or decomposing time series using methods such as seasonal_decompose or ARIMA.

    • Switzerland
    • Financial Services
    • 1 - 100 Employee
    • Software engineer
      • Apr 2018 - Dec 2018

      In this position I have developed a web application from scratch using various technologies. I made this application using Java EE with the JSF 2.2 framework, managing the database behind it with MariaDB. I have also made graphical interfaces with Python and PyGObject to support one of the parts of this project. On the other hand, I have been in charge of other tasks related to the logistics of the company, such as the development of the website for the Spanish subsidiary or the evaluation, purchase and subsequent assembly of the computer equipment.

    • United Kingdom
    • Entertainment Providers
    • 1 - 100 Employee
    • Software developer
      • Apr 2017 - Jun 2017

      This job was carried out under the internship program of the University of Málaga. In this position I developed algorithms in PHP oriented to the collection of information of web pages through the HTTP protocol. I also made use of dependency management with Composer, logging with Monolog, automatic loading of classes with PSR-4 and detection of patterns with regular expressions. For the correct management of the project I have used Git as a version control tool. This job was carried out under the internship program of the University of Málaga. In this position I developed algorithms in PHP oriented to the collection of information of web pages through the HTTP protocol. I also made use of dependency management with Composer, logging with Monolog, automatic loading of classes with PSR-4 and detection of patterns with regular expressions. For the correct management of the project I have used Git as a version control tool.

Education

  • Universidad de Málaga
    Bachelor's degree, Software Engineering
    2013 - 2017
  • Pintor José María Fernández
    Advanced Level, Science and Technology
    2011 - 2013

Community

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