Description

Data Analyst with hands-on experience turning data into clear decisions through dashboards, predictive models and data pipelines.

I work with Python, Power BI and SQL across industries including logistics, agri-food, environment and public health. I don't just build reports: I help clients understand what their data is telling them and what to do about it.

What I can help you with:

- Power BI dashboards tailored to your business, not generic templates.

- Predictive models for operational problems (regression, decision trees, classification).

- Turning complex datasets into actionable insights for non-technical stakeholders

Currently available for remote project-based work. I respond within 24 hours.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent
French
Basic

Workplace preferences

Remote only

Primarily works remotely

Kiwa
Data Analyst
September 2025 - Today (9 months)
• Predictive Modelling: Built a machine learning model (Python, Scikit-learn) to optimise biogas production, analysing yield and mixture composition to support operational decision-making.

• Visualisation & BI: Delivered Power BI dashboards across multiple sectors — sales performance, water & energy monitoring for irrigation communities, SDG indicator reporting for Anecoop, and a municipal urban health dashboard integrating air quality, noise, mobility and clinical data, featuring a custom regression-based environmental risk index.

• Data Pipelines: Designed and implemented Azure Data Factory pipelines ensuring data quality, transformation and interoperability across systems.

• Stakeholder Management: Led technical coordination with institutional clients and ministry-level stakeholders in an R&D project co-funded by the Spanish government.
Microsoft Power BI Python SQL Microsoft Azure
Eurocup – Atos
Team Leader
May 2024 - August 2024 (3 months)
• Coordination of a technical team on Azure and O365 tasks across SharePoint, OneDrive and Teams.

• Monthly activity reporting and service improvement analysis. Tools: Python (pandas, seaborn, matplotlib, numpy), Power BI.

• Leadership of recurring technical team meetings to ensure service quality.

• Direct client communication as main point of contact.
Python Microsoft Power BI
Atos
Cloud engineer
May 2023 - May 2024 (1 year)
• • Direct interaction with client portfolio and advisory on project definition.
• • Departmental analysis and dashboard development. Tools: Power BI.
• • Migration of on-premises services to the cloud.