Pedro Satorre-Mulet
ML/AI Engineer, Actively Job-Hunting
PROFILE
Contact details
Documents
Current
Role:
ML/AI Engineer
Organisation:
Actively Job-Hunting
Department:
Datascience
Location:
Palma de Mallorca / Madrid
Experience
Date:
Organisation:
Role:
Oct. 2024 - Nov. 2025
Ernst & Young (EY)
Technology Consultant – AI, Data Science & Analytics
Education
Date:
Organisation:
Award:
Oct. 2020 - Mar. 2024
Universität Potsdam (Germany)
MSc. Data Science
Oct. 2017 - Jun. 2020
Lancaster University (UK)
BSc. (Hons) Physics, Astrophysics & Cosmology
Accreditations
Building RAG Agents with Agent Bricks - Accreditation Badge (Databricks 08.2026)
Intro. to LangSmith - Certificate (LangChain 07.2026)
AI Context Engineering for Football - Certificate (Twelve Football 05.2026)
Get Started with AI Agents on Databricks - Accrediation Badge (Databricks 02.2026)
Intro. to LangGraph - Certificate (LangChain 10.2025)
AI Agent Fundamentals - Accreditation Badge (Databricks 10.2025)
Generative AI Engineering - Certificates (Databricks 10.2025)
Generative AI Fundamentals - Accreditation Badge (Databricks 09.2025)
Machine Learning Engineering - Certificates (Databricks 07.2025)
GCP Machine Learning - Vertex AI | Gemini | GenAI (Udemy 07.2025)
Biography
| I am a positive and proactive person. I’m interested in continuing to learn on & off the job. It would be a dream to professionally apply my hard & soft skills in the world of football!
My MSc. Data Science thesis was supervised by Dr. Gabriel Anzer – Head of Football Data Analytics @ RB Leipzig: “Shot Classification & Goal Probability Estimation Using Graph Neural Networks” (specifically, Heterogeneous Graph Transformers – HGTs) Cutting-edge, state-of-the-art MSc. Data Science thesis’ research project – successfully demonstrated statistically that HGTs classify, estimate, and calibrate better football shots & their respective goal probability (i.e. xG), compared to conventional xG models. Dr. Gabriel Anzer’s Recommendation Letter
This project was also selected by David Sumpter (and his committee) as 1 of the 4 finalists for Twelve Football’s “Pitch to the Pros #3”.
In parallel to my thesis project mentioned above, I also implemented:
I got selected into Twelve Football’s 1st edition of the course (AI) “Context Engineering for Football” – we had to implement a hands-on project as part of the course, to develop an AI Analyst agent; I implemented a CBs & CB-Pairings AI Analyst agent chat on a Streamlit app.
As a side-project, parallel and independent from my daily duties, I single-handedly designed and successfully built from scratch a new branch (i.e. business line) on Sports AI & Analytics, with a special focus on football, within my department at Ernst & Young (EY), under the direct supervision and sponsorship of a department-linked share-holding Partner. He supported carrying out this initiative after I proactively proposed it, shortly after joining EY, pitching the potential of this idea to the entire department.
I enjoy teamwork and promoting a camaraderie spirit among colleagues. I also enjoy myself when given autonomy and freedom to propose and implement my initiatives. |