
Fran Minguez
Data Engineer: Python, SQL, AI
Kompetenzen

Meine Dienstleistungen


Arbeitserfahrung
Data Scientist & ML Engineer
Independent • Freiberufler
Jun 2026 - Present • 5 mos
Develop independent projects in data engineering, applied machine learning, analytics, and reliable generative AI. Build reproducible technical studies covering RAG retrieval evaluation, LLM model assessment, data quality, and automated validation. Publish selected methodologies, demonstrations, and technical findings to make capabilities and limitations transparent. Also develop a separate initiative exploring scoped data, AI, and process automation pilots for Spanish SMEs. Independent technical research and development; public demonstrations are not presented as client engagements.
Machine Learning Engineer
Multiverse • Vollzeit
Dec 2025 - Jun 2026 • 6 mos
Designed and evaluated RAG systems and LLM/VLM evaluation workflows, focusing on retrieval quality, context sufficiency, abstention criteria, and failure analysis. Worked on supervised fine-tuning, model compression, and post-compression performance recovery. Served as functional Product Owner for a technical workstream, coordinating priorities and acceptance criteria across engineering and product activities. Presented technical findings and progress to clients and stakeholders. All proprietary systems, client information, and internal evaluation artifacts remain confidential.
Data Scientist
Experian • Vollzeit
Aug 2024 - Dec 2025 • 1 yr 4 mos
Modernized analytical processes from SQL Server and SSIS to Python, PySpark, and Databricks, developing modular and reusable processing components. Implemented automated data-quality checks, statistical validation, reconciliation, and traceability to improve the reliability of analytical workflows. Developed segmentation and machine-learning workflows using supervised and unsupervised techniques, including PCA, K-Means, and DBSCAN. Contributed to geospatial analysis and parameter optimization using PyTorch. Combined data engineering, analytical modeling, and business-oriented data analysis in a professional environment.