Richmond Scholar: Full-Ride Merit Scholarship (25 / 9100 selected).
Relevant Coursework: Economic Modeling, Advanced Econometrics, Forecasting, ETF Portfolio Management, Financial Math, SQL, Python.
Honor Societies: Pi Mu Epsilon (Mathematics), Omicron Delta Kappa (Leadership), Mortarboard (College Senior).
Thesis: The Impact of Corporate Profits on Gross Domestic Income Estimates: Forecasting and Data Revisions.
Commencement Speaker
Magna cum Laude
Build econometric and machine learning models in Python to identify student pathway bottlenecks and early-warning risk indicators.
Own 10+ strategic analyses across retention, enrollment, curriculum progression, program impact, and institutional performance.
Translate model outputs into executive reports for senior leadership, Trustees, Enrollment, Registrar, Law School, and departments.
Research macroeconomic data revisions and real-time forecasting, with a focus on corporate profits and their effects on U.S. GDI estimates.
Collaborating with Dr. Croushore on two papers, analyzing historical data vintages, revisions, and forecast performance.
Modeled public and private labor-market dynamics to support senior economists in macroeconomic forecasting and policy research.
Automated recurring employment trend reports with a Python/Stata dashboard pipeline processing 30M+ time-series observations.
Quantified transition rates and probabilities, revealing sector-specific recovery patterns after COVID and across U.S. recessions.
Owned weekly Latin American market briefs, translating key economic indicators, political risk, and market trends into fund insights.
Built a Python app aggregating real-time macro data from the Federal Reserve, optimizing investment research and ETF allocation.
Selected for economics research training in econometrics, causal inference, and empirical policy analysis using Stata.
Examined fiscal and monetary policy through economist-led sessions with the Fed, JPMorgan, World Bank, IMF, and U.S. Senate.
Quantified treatment effects across cell-culture and 3D organoid models by comparing protein-marker responses in prostate cancer.
Developed functional heart tissue from stem cells and a cell therapy project for leukemia, gaining expertise in targeted biotech therapies.
Launched RumoNext, a college-access and academic management platform for Brazilian students and school administrators.
Building student- and school-facing tools for K–12 administrative data integration, progress tracking, and college-access interventions.
Co-founded the third-largest science fair in Brazil, scaling it to 700+ research projects and 2,000+ students nationwide.
Developed business strategies and managed institutional relations with 32 sponsors and partners.
Implemented a marketing campaign to attract highly diverse group of participants: 75% from public schools, 60% females, 42% BIPOC.
Owned an annual 4-week hackathon focused on real-world challenges from 8 nonprofits, e.g., Khan Academy, Lemann Foundation.
Launched an initiative to streamline the tech-transfer process for academic researchers developing innovative market-driven technologies.
Supported by the Clinton Foundation and incubated at European Innovation Academy, SBA ICAP, and the Wond’ry at Vanderbilt.
Co-led fundraising efforts, focusing on High-Net-Worth individuals and corporate partnerships.
Structured strategies for long-term financial sustainability by establishing a network of recurring donors and an Endowment fund.
Conducted fundraising events at multiple conferences: BRASA Summit (Atlanta 2021), EuroLeads (Paris 2021), Talks (NYC 2022).
Technical: Python, R, Stata, SQL, Power BI, Tableau, LaTeX, VBA, Advanced Excel, MS Office.
Certifications: Artificial Intelligence & Machine Learning (University of Chicago).
Languages: Portuguese (Native), English (Fluent), Spanish (Intermediate).
Interests: Live TV Tapings, Road Trips, Stand-up Comedy, Broadway, Cinema, Hiking, Ukulele.