Senior Data Analyst with 6+ years of experience across banking, healthcare, retail, and consulting. I specialize in data quality, ETL/ELT pipelines, and BI reporting and I build my own production data and ML systems outside of work to bridge legacy SQL environments with modern cloud-native architectures.

Currently pursuing a B.S. in Data Science at UOC (Universitat Oberta de Catalunya), with hands-on project experience in Snowflake, dbt, Apache Airflow, and Airbyte.

Based in Barcelona, Spain 🇪🇸

Languages

BI & Analytics

Databases

Modern Data Stack

ML / Data Science

Orchestration & DevOps

olist-data-platform — Modern ELT pipeline (Airflow, Airbyte, dbt, Snowflake, Metabase) built to simulate a real migration from a legacy SQL environment to a cloud-native architecture. Phase 1 (ingestion + transformation) complete; documents the real environment issues hit and fixed along the way.

smart-wallet-ml — Automated ML pipeline that runs daily via GitHub Actions: an adaptive ensemble of classifiers forecasts short-term directional price movement, validates its own past predictions, and re-weights itself based on recent accuracy. Built with strong AI pair-programming support; I own the design decisions and have debugged every production incident end to end.

climate-adaptive-ml — Early-stage companion project applying the same adaptive-ensemble approach to daily climate forecasting across three climate regimes, testing whether temporal-decay weighting beats static baselines.

• Data quality initiative at Knowmad Mood — targeting 50% error reduction across 100K+ client records in the healthcare insurance sector, with automated controls and Power BI dashboards for real-time monitoring.
• Cloud modernization proposal — designing a migration from on-premise SQL Server to Snowflake + dbt + Airflow, currently structuring the technical case for leadership review.
• B.S. Data Science at UOC — deepening the statistical and modelling foundations behind the projects above.