About Me
I'm a Data Scientist with over seven years of experience transforming complex datasets into strategic product decisions. Currently at Meta, I serve as a primary analytics domain expert for the consumer hardware portfolio — including Ray-Ban Meta glasses, VR/Quest, and Portal — within Reality Labs.
My work spans the full analytics lifecycle: from designing metric frameworks and building logging pipelines to running experimentation programs and delivering leadership-level insights that shape product roadmaps. I thrive in ambiguous, early-stage product environments where defining what to measure is as important as the measurement itself.
Before Meta, I built ML credit scorecards at Carbon (fintech), drove product analytics at Cabify (mobility), and researched Smart Cities technologies at Ferrovial. I hold a degree in Chemical Engineering from Universidad Politécnica de Madrid and transitioned into data science through General Assembly's immersive program in London.
Experience
A journey through data science, analytics, and machine learning across big tech, fintech, mobility, and smart cities.
Meta
Data Scientist
- Product analytics support across Meta's consumer hardware portfolio, including Portal, VR/Quest, and Ray-Ban Meta wearables.
- Designed and owned core metric frameworks to evaluate product health, feature adoption, and long-term trends across Reality Labs.
- Primary analytics domain expert for Ray-Ban Meta glasses, partnering with product management, engineering, and design.
- Built end-to-end analytics infrastructure: logging pipelines, curated datasets, dashboards, and experimentation frameworks.
- Supported early-stage products through ambiguous development phases by defining success criteria and enabling data-driven decisions.
Cabify
Data Analyst
- Enabled data-driven decision-making across Rider and Delivery product teams through Tableau dashboards and centralized data sources.
- Owned core KPIs related to rider acquisition funnels, in-app product adoption, and delivery usage.
- Designed and analyzed A/B tests to evaluate new features, improving journey conversion rates and usability.
Carbon
Data Scientist — Team Lead
- Built and deployed ML credit scorecards and income prediction models, increasing monthly loan disbursements.
- Reduced loan default rates by developing pre-delinquency risk models, fraud prevention strategies, and a customer graph database.
- Led customer segmentation frameworks and experimentation strategies to improve engagement, retention, and lifetime value.
General Assembly
Data Science — Assistant Instructor
- Mentored students on Python, statistics, and end-to-end capstone project development in the Data Science program.
Ferrovial
Market Intelligence Analyst
- Led market intelligence research on Smart Cities technologies, evaluating solution providers and supporting pilot deployments.
Skills & Expertise
A versatile toolkit spanning analytics, machine learning, data engineering, and cloud infrastructure.
Analytics & Strategy
Machine Learning
Programming
Data Infrastructure
Visualization
Cloud & DevOps
Education
From Chemical Engineering foundations to a focused transition into Data Science.
Universidad Politécnica de Madrid
ETSII — Escuela Técnica Superior de Ingenieros Industriales
Bachelor of Science in Chemical Engineering
Erasmus exchange program at HEI, Université Catholique de Lille
General Assembly
Data Science Immersive
12-week immersive programme in statistics and coding
Exploring the full Data Science workflow from data wrangling to model deployment
Let's Connect
Whether you'd like to discuss data science, product analytics, or potential collaborations — I'd love to hear from you.