Pablo Alvarez Arnedo
@pabloalvarezarnedo
I build machine learning and AWS data workflows for business decisions.
What I'm looking for
At Accenture, I develop machine learning models in Amazon SageMaker and build scalable AWS data and AI workflows using S3, Glue, EMR, Athena and Redshift. I work with XGBoost, AutoML and LLM fine-tuning to support analytics and business intelligence use cases.
Previously at TotalEnergies and ArcelorMittal, I analyzed AI-agent conversations, built Power BI KPI dashboards, and evaluated predictive models for rare industrial defects. My work turns noisy, imbalanced data into evidence that supports practical business decisions—including deciding when further model investment is not justified.
Experience
Work history, roles, and key accomplishments
Develop and evaluate machine learning models in Amazon SageMaker, including XGBoost and AutoML workflows. Perform exploratory analysis, data cleaning, feature engineering, and build scalable AWS data and AI workflows.
Analyzed conversational logs from an AI agent prototype and identified interaction patterns linked to outcomes. Defined KPIs and built Power BI dashboards to measure customer journeys and chatbot performance.
Developed and evaluated predictive models for a rare manufacturing defect. Built synthetic data generators and preprocessing pipelines, performed feature engineering and imbalanced learning on noisy industrial data.
Education
Degrees, certifications, and relevant coursework
UNIR
Master of Science, Visual Analytics & Big Data
2025 -
Activities and societies: Professional Specialisation in Data Analyst with Artificial Intelligence
Pursuing an MSc in Visual Analytics & Big Data, covering predictive analytics, machine learning, and big data engineering.
University of Oviedo
Bachelor of Science, Data Science & Engineering
2021 - 2025
Grade: 8.1/10
Activities and societies: Top entry score in first cohort (13.73/14); Honours in Calculus II and Cryptography & Information Coding; Erasmus at Babeș-Bolyai University
Completed a BSc in Data Science & Engineering, covering statistics, machine learning, and data engineering.
Babeș-Bolyai University
Exchange Program, Computer Science
Erasmus exchange focusing on Artificial Intelligence, NLP, Computer Vision, and Software Engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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