I am a Data Analyst with over three years of experience in analytics, credit risk, and model risk at Santander Brasil. I use data-driven analysis to support business decisions, regulatory monitoring, and process improvement in banking environments.
I have hands-on experience working with large datasets using SQL, Python, SAS, PySpark, and Databricks. My work includes developing analytical routines, monitoring credit risk parameters, and translating statistical indicators into actionable business context.
I build dashboards and recurring reporting solutions with Power BI, DAX, Power Query, Tableau, and Qlik. I enjoy improving reporting workflows, automating manual processes, and investigating data-quality issues to make information more reliable and accessible.
In my model risk work, I have supported Credit Conversion Factor estimation and monitoring, IFRS 9 parameter calculations, and the assessment of AUC, Gini, and HHI indicators. I have also optimized analytical processes, reducing execution and reporting turnaround times significantly.
I am currently completing an undergraduate degree in Mathematics and have fluent English. I am seeking junior to mid-level Data Analyst opportunities where I can contribute analytical, business intelligence, and credit risk expertise in a fully remote role.
