Description

I excel in transforming complex data into actionable insights with a strong foundation in quantitative analysis and data science. Over the past four years, I have worked across various sectors, specializing in credit, operational, and research datasets using Python, SQL, SAS, and R. I have developed automated data quality workflows and crafted sophisticated dashboards that empower teams to make risk-informed decisions. My experience includes internships at leading organizations, where I collaborated with cross-functional teams to deliver impactful analytical reporting. If you're seeking a data expert who can turn your data challenges into opportunities for growth, let's connect. I am eager to contribute to your project and help you unlock the full potential of your data.

Languages

Spanish
Native or bilingual
Catalan
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Banco Sabadell Sant Cugat del
Data Science Intern
September 2025 - February 2026 (5 months)
Cerdanyola del Vallès, CT, Spain
• - Utilised SAS and SQL to clean, validate, and streamline monthly credit datasets, strengthening data quality workflows and gaining exposure to financial and banking processes.
• - Built credit metrics and weekly production visualisations to support risk assessment and decision-making.
SQL Data Visualization Database Management (e.g., SQL, NoSQL) Data integration (ETL, ELT and data warehousing)
Orpheus
Data Scientist
July 2022 - December 2024 (2 years and 5 months)
Girona, Spain
• - Built ETL pipelines and Grafana dashboards (PostgreSQL), turning complex trends into operational KPIs; reduced client call time by 45%.
• - Delivered 23% cost reduction via ML analytics; processed 300M+ rows and cut retrieval latency by 70% through pipeline/database optimisation.
SQL Data integration (ETL, ELT and data warehousing) Machine learning Python Django
Institut De Recerca De L'Hospital De La Santa Creu i Sant
Data Science Intern
June 2024 - November 2024 (5 months)
Barcelona, Spain
• - Performed large-scale preprocessing and exploratory data analysis on neurological datasets, improving predictive model accuracy and providing insights adopted by senior researchers.
Data integration (ETL, ELT and data warehousing) Python R