At Itau Unibanco, I developed preventive data solutions that supported over R$ 100 million in transactions and positively impacted 170,000 customers. I also helped save 12,000 hours for the commercial team through process optimization.
I maintain and enhance data pipelines with AWS Glue, using Python and Amazon Athena to diagnose root causes. I also integrated Microsoft Power Automate with AWS to send real-time alerts for failed pipelines and support immediate troubleshooting.
As a Data & Analytics Intern at Itau Unibanco, I generated and monitored monthly Central Bank reporting for the Receivables System (SVR), covering a portfolio of R$ 1 Billion. I developed validation pipelines after finding and resolving data inconsistencies in the legacy model.
My projects include a Pokémon dataset analysis in which I explored the data and implemented classification models to predict features associated with legendary Pokémon. I also studied probability and statistical inference for Data Science projects using Python.
