Carlos De Las Heras Peña

VP Architecture at JUMP

Carlos De Las Heras Peña has a diverse work experience spanning various industries. Carlos currently holds the position of VP Architecture at JUMP - Data-Driven Intelligence, where they are responsible for leading the architecture and development of transformational projects aimed at improving efficiency, automation, and standardization of the company's technological processes. Carlos has also established an internal infrastructure using Kubernetes and implemented various in-house services. Additionally, they have created and trained the architecture department.

Prior to this, Carlos held the position of VP Data Science at JUMP - Data-Driven Intelligence, where they managed the deployment of AI solutions and led the team. Carlos was also involved in the development of the HAMLET AI framework.

Before joining JUMP, Carlos worked as a Senior Data Scientist at Jump TV, a startup focused on video-centric data analysis. Carlos aimed to improve the performance and scalability of the company's product.

Carlos also gained experience at Telefonica, where they served as Acting Academic Coordinator for LUCA Academy, providing machine learning training to a large team and coordinating client communication. Carlos also worked as a Senior Data Scientist, developing machine learning projects and providing training on data science and big data to clients in various countries.

At Sngular, Carlos worked as a Data Scientist, completing projects for a pharma company to predict contract auctions and creating ETLs and visualizations for executives at BBVA using Domo software and R.

Carlos also gained experience as a Data Scientist at Sngular Meaning, focusing on extracting insights from client data and translating them into actionable business decisions.

Earlier in their career, Carlos worked at Jot Internet Media as a Team Leader on New Business Development, where they planned and implemented strategies for online traffic generation and infrastructure development. Carlos also worked as a Back Office I+D Developer, creating tools and solutions for the account manager's environment. Carlos briefly served as a PPC Account Manager as well.

Carlos also has experience outside of the technology industry. Carlos worked as the Cambridge Exams Coordinator at International House Madrid, where they coordinated the exams and managed a team of invigilators.

In addition, they were an active member of the NGO Gaudí3D, where they managed the working team and conducted research on 3D printing.

Lastly, Carlos has been involved in theater, participating in various plays and events, which has honed their communication and presentation skills.

Overall, Carlos De Las Heras Peña has a strong background in data science, machine learning, and technology, with extensive experience in leadership, project management, and business development.

Carlos De Las Heras Peña completed a degree in Business Solutions through Data Science at KSchool in 2017. Prior to that, they obtained a Data Science Master degree from KSchool in 2016. In 2013, they earned a degree in Ingeniero Técnico Aeronáutico with a specialization in Equipos y Materiales Aeroespaciales from Universidad Politécnica de Madrid. Carlos also received certifications, including Artificial Intelligence from UOC - Universidad Oberta de Cataluña in 2016, Using Databases with Python from Coursera Course Certificates in 2016, Process Mining: Data Science in Action from Coursera in 2015, SEA - Managing and Optimization of Marketing Campaigns in Adwords from Kimia in 2014, What’s Your Big Idea? from Coursera in 2014, and Adwords: Basic and Advanced concepts Official Certification from Google in 2014. In 2014, they attended Google Academy to become a certified Gestor publicitario in the Adwords platform. In 2013, Carlos studied as an Erasmus student at Katholieke Hogeschool Brugge - Oostende: KHBO, where they worked on their Final Project related to the design of a UAV catapult.

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Timeline

  • VP Architecture

    July, 2022 - present

  • VP Data Science

    July, 2020

  • Senior Data Scientist

    September, 2019