- Avid Reader
- Music & podcasts
- Fitness & wellness, running
- Fluent Spanish and Beginner Portuguese

Data Analytics graduate student at Columbia University with strengths in statistical analysis, problem solving, and translating data into actionable insights. Passionate about music, technology, and data-driven product strategy.
• Analyze financial and operational datasets to identify discrepancies, trends, and efficiency opportunities across departments.
• Partner with cross-functional stakeholders to ensure data accuracy, compliance, and actionable reporting.
• Led analytics-driven process improvements, reducing month-end close timelines by 65%.
• Built and maintained automated trackers and reports to support forecasting and project monitoring.
• Managed and reconciled high-volume transactional data of several accounts, improving data quality and reducing errors by 15%.
Programming & Analytics: R, Python (pandas, numpy), SQL
Statistical Methods: Linear & logistic regression, hypothesis testing, exploratory data analysis
Data Visualization: Tableau, Excel (pivot tables, macros)
Other: Accounts Payable and receivable, Financial Reporting, Process automation, data validation, stakeholder communication