At KPMG Spain, I built a MiFID II scenario-planning and decision-support model to identify clients at risk of churn after regulatory changes. The work safeguarded 7% of annual revenue and informed a revised suitability test that reduced the share of clients assigned a lower investment profile by 15%.
I also audited legacy-platform data across 22 product lines before migration, finding data quality issues in 4% of records and implementing business validation rules. For a multinational enterprise, I improved a Power BI risk analyzer that helped detect jurisdictions with elevated tax exposure.
In my fraud detection projects, I used cost-sensitive decisioning to estimate €1.58M in prevented fraud exposure for €153K in review costs, and built a cloud-native AWS SageMaker pipeline with a Streamlit dashboard. I’m currently pursuing an MSc in Computer Science, specializing in AI and Machine Learning.
