Raúl Moreno Izquierdo was born on December 1, 1979, in Spain. His early academic pursuits showcased his affinity for technology and engineering. In 2003, he earned his degree in Computer Engineering from Universidad Rey Juan Carlos (URJC) in Móstoles, Spain. His academic journey at URJC was marked by active participation in various councils and committees, reflecting his leadership qualities from a young age. His Erasmus exchange at Helsinki University of Technology in 2002 further broadened his academic horizons. Raúl continued his education at URJC, completing a Master’s in Decision Engineering in 2005, focusing on electronic voting with mobile technology. He also pursued a Higher Course in Security Management at URJC between 2019 and 2020, where he developed a security plan for an intelligence agency.
Raúl’s professional journey began as a Software Developer, contributing to various innovative projects. He worked at Delaware Contenidos y Aplicaciones, S.L., Rigel Mobile Service Provider, S.A., and Nova Notio, S.L., where he developed Java and mobile technologies for Telefónica I+D. His work involved creating web portals and intelligent guiding tour systems, showcasing his ability to integrate cutting-edge technologies into practical applications.
From 2005 to 2012, Raúl’s career transitioned into presales engineering roles at prominent companies such as SAS Institute, S.A., Business Objects Ibérica, and Jaspersoft Limited. He became a leader in business intelligence tools, ETL, and data mining. His expertise was instrumental in integrating SAP with Business Objects and developing custom decision support systems. His tenure at Vodafone ONO, S.A.U. as a Business Consultant further solidified his skills in credit scoring and fraud detection, using advanced analytical techniques.
Raúl’s career evolved with leadership roles such as CIO at JOF Associates Int, where he was responsible for IT decisions, R&D, DevOps, BI, and digital marketing. His innovative solutions in online reservation tools and customer scoring using TensorFlow and NLP techniques were notable achievements. Concurrently, Raúl began his academic contributions as an Educational Researcher at Universidad Rey Juan Carlos, publishing works on fraud detection and coordinating international projects like VRTUOSI.
Since 2020, Raúl has been an Associate Professor at Universidad Carlos III de Madrid (UC3M), where he teaches subjects ranging from programming in Python to Geographic Information Systems. His research includes the CoronaSurveys project for detecting COVID-19 anomalies and developing expert systems for suicide prevention using AI and graphology. As a Data Scientist at UC3M, Raúl develops deep learning models and implements chatbots for educational environments, enhancing innovation in teaching through technologies like JupyterHub and Moodle.
Raúl’s research is extensive and diverse, encompassing artificial intelligence, data science, and decision support systems. His work has been published in numerous academic journals and conferences. Noteworthy publications include “Estimating Active Cases of COVID-19” and “Improving Fraud Detection Modeling”. His research projects often bridge the gap between technology and societal needs, such as his work on suicide prevention and crime analysis using GIS techniques.
Raúl’s technical skills are vast, covering programming languages (Python, PHP, SQL), machine learning, deep learning, data science, web development, and more. His proficiency in tools like TensorFlow, Docker, and various BI tools highlights his capability to handle complex data-driven projects. His leadership and project management skills, combined with his technical expertise, make him a versatile and valuable professional in both academic and corporate settings.
Raúl is known for his strong personal morals and ethics, ensuring complete honesty and transparency in all his professional dealings. His self-learning attitude and teamwork orientation contribute significantly to his success in various collaborative and innovative projects.
Raúl Moreno Izquierdo’s career is a testament to his dedication to technology, innovation, and education. His journey from a software developer to a data scientist and associate professor reflects his continuous pursuit of knowledge and excellence. His contributions to artificial intelligence, data science, and educational innovation have made significant impacts in both academia and industry.
Every solution requires its own architecture, I've been designing solutions since my very beginning.
Most times I write scientific docs generated by the knowledge obtained from the problem solving.
I like coding. When you code you have the ability to create your own styled solutions, no matter what problem is.
In my career I've been communicating every time, I love it, so don't hesitate to invite me to talks.