Professional Summary
Data scientist (MSc, Distinction) who found a passion for analytical problem-solving during a successful international finance career. Spent 8+ years in progressively senior roles managing analysis for billion-dollar operations, where the most rewarding work lay in spotting hidden patterns, asking better questions, and building data narratives that revealed unexpected insights.
That investigative streak led to formal study in Data Science & AI (MSc), with a thesis on modern generative approaches and foundation models for disaster image classification, alongside building robust skills in machine learning, computer vision, and statistical modelling.
Now seeking research-oriented roles across diverse domains—from crisis informatics to environmental analysis to social research—and particularly drawn to interdisciplinary projects where data science meets real-world impact.
Education & Research
MSc Data Science & Artificial Intelligence
University of London — Goldsmiths • 2022—2025
Graduated with Distinction
Specialized in AI track, focusing on machine learning, computer vision, and generative models (LLMs)
Thesis: "Improving Image Classification in Crisis Informatics Through Modern Generative Approaches"
- Benchmarked against published CNN models trained on MEDIC dataset (natural disasters and humanitarian response imagery)
- Compared two approaches: synthetic data augmentation (generating 10K additional training images) versus direct classification using vision models
- Vision models significantly outperformed both CNN benchmarks and synthetic data approaches
- Technical implementation: Python, PyTorch, TensorFlow, generative model API integration, advanced prompt engineering
Licenciatura en Economía
Universidad Autónoma de Madrid • 2006—2012
Specializing in International Economic Development (pre-Bologna long-cycle degree, now equivalent to BSc + MSc)
Core Technical Competencies
Programming & ML
Python, TensorFlow, PyTorch, scikit-learn, Computer Vision, LLM Integration, Statistical Modelling, Prompt Engineering
Data Engineering
ETL Pipeline Design, Data Architecture, SQL, Power BI, KNIME, Hadoop, Cloud Platforms
Research Methods
Experimental design, comparative methodology, interdisciplinary research, technical writing
Professional Experience
Global Finance Senior Manager
Coty Inc. — Wella Professionals ($1.3B Business Unit)
2018—2020
Financial and analytical leadership for a major international beauty brand, requiring coordination across R&D, marketing, and regional operations to align product development with market opportunities
- Led the full 5-year product pipeline for the Wella Professionals brand, ensuring launch plans met growth and profitability goals through mix optimisation, cannibalization analysis, and pricing strategy
- Worked across Marketing, R&D, and regional leadership to align commercial priorities with operational feasibility, building consensus and securing buy-in for complex strategic plans
- Designed and implemented tooling (using Anaplan) to automate financial modelling for new launches, incorporating R&D cost inputs and automatically performing cannibalization and pricing analysis from live product data
- Initiated and co-designed a Europe-wide Data Analytics Training Programme for finance teams, evangelising and teaching low-code tools (Power BI, KNIME) to automate workflows and perform advanced analysis—an initiative that finalised the decision to pivot into data science
Division FP&A Manager, Professional Beauty
Procter & Gamble / Coty Inc. ($2B Business Unit)
2015—2018
Financial planning and analysis responsibility for a $2B portfolio during a major corporate restructuring, including complete rebuild of forecasting infrastructure and analytical systems
- Maintained global forecasting operations during business unit reverse merger into Coty, including abrupt cutoff from P&G systems
- Built tooling to run forecasting process offline initially, then co-designed replacement system in Oracle
- Trained and supported global teams in adopting new forecasting processes and tools, ensuring consistency and reliability during corporate transition
- Navigated shift from P&G's accuracy-focused forecasting culture to Coty's target-driven environment, protecting data integrity despite wider organisational pressures
- Consolidated multi-region SKU-level data into unified forecasting platform, enabling transparent performance tracking and informed decision-making
Senior Finance Analyst
Procter & Gamble — CEMEA ($50M Multi-Market Operation)
2013—2015
Financial analysis for emerging markets across Central Europe, Middle East and Africa, developing frameworks to identify patterns in distributor behavior and market dynamics across diverse regulatory environments
- Built the first distributor performance analytics system for 40+ international markets, creating visibility into trends that shaped regional commercial strategies
- Developed anomaly detection models to identify irregular distribution patterns, ensuring compliance and market integrity in conjunction with legal team
- Responsible for data-driven distributor negotiation strategy, often directly involved in distributor negotiations along with Sales team for larger distributors
Sales Finance Analyst
Mondelez International
2012—2013
Analytical support for sales operations, developing forecasting frameworks and models to inform business planning decisions
- Developed forecasting frameworks and analytical models to support strategic business planning
- External audit experience