Bruna User

Implemented a Medallion Architecture and dbt/Airflow pipelines to productionize ML features, improving model performance by 50% and consolidating dashboards to reduce memory usage ~60%.

Developed ROI and optimization models for sales-rep store visits leading to projected revenue uplifts (UK 3%, US 7%) and increased high-potential visits by 10% through constrained optimization and A/B testing.

Designed pipelines and feature engineering for financial-crime detection models, reducing false positives by 30% and implementing Great Expectations validations to ensure data quality.

Delivered production ML models across banking, marketing, product, and compliance; mentored peers and translated business needs into end-to-end analytics solutions driving data-informed decisions.

Built the first credit-delinquency predictive model enabling same-day loan decisions and reduced approval time by 3 days; implemented collection strategy A/B tests cutting unproductive calls by 20%.

Developed marketing and churn prediction models (decision trees, RFM segmentation) and provided data-driven insights to optimize campaigns and customer retention strategies.

Completed a Bachelor's degree in Statistics with coursework covering statistical modeling, data analysis, and probability theory.

Completed a Master's degree in Computer Science (coursework only, excluding academic dissertation) focusing on advanced topics in computing and data-driven solutions.