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Hi, I’m Pelayo García Vega, a data scientist with a passion for turning data into actionable business insights. I design and train AI models (including LightGBM, neural nets, RL, autoencoders, and LLMs) and build explainability frameworks to help stakeholders trust predictions. I enjoy turning complex data into clear dashboards and scalable solutions, and I thrive in cross-functional teams to drive impact. I’ve led cloud transformations, built scalable ML pipelines in Azure, AWS, and GCP, and implemented MLOps practices to deliver robust, cost-efficient AI at scale. I’m fluent in English and Spanish, with a growing exposure to German, and I love collaborating using Agile/Scrum to deliver high-value outcomes.…Hi, I’m Pelayo García Vega, a data scientist with a passion for turning data into actionable business insights. I design and train AI models (including LightGBM, neural nets, RL, autoencoders, and LLMs) and build explainability frameworks to help stakeholders trust predictions. I enjoy turning complex data into clear dashboards and scalable solutions, and I thrive in cross-functional teams to drive impact. I’ve led cloud transformations, built scalable ML pipelines in Azure, AWS, and GCP, and implemented MLOps practices to deliver robust, cost-efficient AI at scale. I’m fluent in English and Spanish, with a growing exposure to German, and I love collaborating using Agile/Scrum to deliver high-value outcomes.

Pelayo García Vega

Data Scientist, AI Engineer, Full Stack Developer, +5

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Hi, I’m Pelayo García Vega, a data scientist with a passion for turning data into actionable business insights. I design and train AI models (including LightGBM, neural nets, RL, autoencoders, and LLMs) and build explainability frameworks to help stakeholders trust predictions. I enjoy turning complex data into clear dashboards and scalable solutions, and I thrive in cross-functional teams to drive impact. I’ve led cloud transformations, built scalable ML pipelines in Azure, AWS, and GCP, and implemented MLOps practices to deliver robust, cost-efficient AI at scale. I’m fluent in English and Spanish, with a growing exposure to German, and I love collaborating using Agile/Scrum to deliver high-value outcomes.…Hi, I’m Pelayo García Vega, a data scientist with a passion for turning data into actionable business insights. I design and train AI models (including LightGBM, neural nets, RL, autoencoders, and LLMs) and build explainability frameworks to help stakeholders trust predictions. I enjoy turning complex data into clear dashboards and scalable solutions, and I thrive in cross-functional teams to drive impact. I’ve led cloud transformations, built scalable ML pipelines in Azure, AWS, and GCP, and implemented MLOps practices to deliver robust, cost-efficient AI at scale. I’m fluent in English and Spanish, with a growing exposure to German, and I love collaborating using Agile/Scrum to deliver high-value outcomes.

Available to hire

Hi, I’m Pelayo García Vega, a data scientist with a passion for turning data into actionable business insights. I design and train AI models (including LightGBM, neural nets, RL, autoencoders, and LLMs) and build explainability frameworks to help stakeholders trust predictions. I enjoy turning complex data into clear dashboards and scalable solutions, and I thrive in cross-functional teams to drive impact.

I’ve led cloud transformations, built scalable ML pipelines in Azure, AWS, and GCP, and implemented MLOps practices to deliver robust, cost-efficient AI at scale. I’m fluent in English and Spanish, with a growing exposure to German, and I love collaborating using Agile/Scrum to deliver high-value outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Spanish; Castilian

Fluent

German

Intermediate

Work Experience

Data Scientist at Telefonica Innovacion Digital

April 1, 2025 - Present

Designed and trained advanced AI models (LightGBM, Neural Networks, Reinforcement Learning, Autoencoders, LLMs) for business applications and recommendation systems. Developed explainability frameworks (XAI) using SHAP, LIME, EBM and counterfactual analysis to enable stakeholders to understand model behavior and trust predictions. Developed scalable synthetic data generation techniques to improve model robustness under data scarcity. Leveraged PySpark and distributed cloud environments (GCP, Azure) for large-scale data preprocessing and model training. Applied Agentic AI approaches to automate decision-making processes and enhance customer interaction systems. Created interactive dashboards in Power BI for business leaders, translating technical insights into KPIs.

Technology Consultant at PwC

September 30, 2024 - September 29, 2025

Worked on cloud transformation projects for public and private sector clients, modernizing on-premise services into scalable PaaS/SaaS solutions and executing lift-and-shift migrations (IaaS) to Azure, AWS, GCP, IBM Cloud and OCI. Designed and deployed secure cloud landing zones and infrastructure-as-code environments using Terraform, ensuring compliance, scalability, and cost optimization. Developed AI and LLM-based solutions tailored to enterprise use cases, enhancing decision-making and automation for clients. Implemented serverless architectures (AWS Lambda, Azure Functions) to automate workflows and increase system efficiency. Collaborated in Agile/Scrum teams, aligning stakeholders and technical teams to deliver high-impact solutions.

Pega System Architect (Internship) at Accenture

December 31, 2023 - September 29, 2025

Developed low-code AI-driven applications using Pega for public sector clients. Prototyped automation solutions that streamlined case management and improved process efficiency.

Data Scientist at Telefonica Innovacion Digital

April 1, 2025 - Present

Designed and trained advanced AI models (LightGBM, Neural Networks, Reinforcement Learning, Autoencoders, LLMs) for business applications and recommender systems. Developed explainability frameworks (SHAP, LIME, EBM) and counterfactual analysis to enable stakeholders to understand model behavior and trust predictions. Implemented scalable synthetic data generation to improve robustness under data scarcity. Leveraged PySpark and distributed cloud environments (GCP, Azure) for large-scale data preprocessing and model training. Applied Agentic AI approaches to automate decision-making processes and customer interaction systems. Created interactive Power BI dashboards translating technical insights into measurable KPIs.

Technology Consultant at PwC

September 1, 2024 - September 29, 2025

Led cloud transformation projects for public and private sector clients, modernizing on-premise services into scalable PaaS/SaaS solutions and executing lift-and-shift migrations to Azure, AWS, GCP, IBM Cloud and OCI. Designed and deployed secure cloud landing zones and infrastructure-as-code environments using Terraform, ensuring compliance, scalability, and cost optimization. Developed AI- and LLM-based solutions to enhance decision-making and automation. Implemented serverless architectures (AWS Lambda, Azure Functions) to automate workflows. Collaborated in Agile/Scrum teams to deliver high-impact solutions.

Pega System Architect (Internship) at Accenture

December 1, 2023 - September 29, 2025

Developed low-code AI-driven applications using Pega for public sector clients. Prototyped automation solutions that streamlined case management and improved process efficiency.

Data Scientist at Telefonica Innovacion Digital

April 1, 2025 - Present

Designed and trained advanced AI models (LightGBM, Neural Networks, Reinforcement Learning, Autoencoders, LLMs) for business applications and recommendation systems. Developed explainability frameworks (XAI) using SHAP, LIME, EBM and counterfactual analysis, enabling stakeholders to understand model behavior and trust predictions. Development of scalable synthetic data generation techniques, improving model robustness under data scarcity scenarios. Leveraged PySpark and distributed cloud environments (GCP, Azure) for large-scale data preprocessing and model training. Applied Agentic AI approaches to automate decision-making processes and enhance customer interaction systems. Created interactive dashboards in Power BI for business leaders, translating technical insights into measurable KPIs.

Technology Consultant at PwC

September 1, 2024 - September 29, 2025

Pega System Architect (Internship) at Accenture

December 1, 2023 - September 29, 2025

Developed low-code AI-driven applications using Pega for public sector clients. Prototyped automation solutions that streamlined case management and improved process efficiency.

Education

MSc in Artificial Intelligence at Universidad Politécnica de Madrid

September 1, 2024 - July 1, 2025

Bachelor’s Degree in Computer Science and Engineering at Universidad Carlos III de Madrid

September 1, 2019 - March 1, 2024

International Erasmus Mobility at Technische Universität Kaiserslautern

September 1, 2021 - March 1, 2022

MSc in Artificial Intelligence at Universidad Politécnica de Madrid

September 1, 2024 - July 1, 2025

Bachelor's Degree in Computer Science and Engineering at Universidad Carlos III de Madrid

September 1, 2019 - March 1, 2024

International Erasmus Mobility at Technische Universität Kaiserslautern

September 1, 2021 - March 1, 2022

MSc in Artificial Intelligence at Universidad Politécnica de Madrid

September 1, 2024 - July 1, 2025

Bachelor’s Degree in Computer Science and Engineering at Universidad Carlos III de Madrid

September 1, 2019 - March 1, 2024

International Erasmus Mobility at Technische Universität Kaiserslautern

September 1, 2021 - March 1, 2022