I work with data in financial services — 14 years now, all in banking. I'm originally from Curitiba, south of Brazil, up in the mountains. Moved to Vancouver in 2017 to build HSBC Canada's data governance function from scratch, and I'm now at RBC, where I design experiments and automate campaign measurement — test/control analysis, vintage curves, the infrastructure that answers whether a campaign actually changed behavior or you just got lucky.
Before measurement, I spent seven years building governance. Before governance, I was doing pricing analysis and credit card analytics in Curitiba. The thread through all of it: I care about whether the numbers are right, and I build systems that keep them right.
When I'm not working, I run, play guitar, and photograph wildlife whenever I can get somewhere with more trees than people.
- Data Quality Is a Product, Not a Process
- What 5 Government Databases Taught Me About Entity Resolution
- How I'd Bootstrap Data Governance in a 50-Person Startup
- Campaign Measurement Infrastructure — automated pipelines across 300+ campaigns
- Pharma Intelligence Platform — entity resolution across 5 government databases
- Incrementality & Causal Inference — measuring true campaign impact
- Transaction Fraud Detection — cost-sensitive ML for imbalanced data
- Demand Forecasting Engine — 897K service requests, multiple model comparison
