Richmond Scholar: Full-Ride Merit Scholarship given to 25 out of 9100 candidates.
Relevant Coursework: Economic Modeling, Forecasting, ETF Portfolio Management, Econometrics, Financial Math, SQL, Python.
Honor Societies: Pi Mu Epsilon (Mathematics), Omicron Delta Kappa (Leadership), Mortarboard (College Senior).
Honors Thesis: The Impact of Corporate Profits on GDI Estimates: Forecasting and Data Revisions.
Cumulative GPA: 3.74/4.00.
Analyzed public and private-sector employment trends to support senior economists in policy analysis and labor market projections.
Built an automated chart analysis tool with Python/Machine Learning, enabling high-speed processing of 30M+ time-series data points.
Examined Latin American markets, assessing key economic indicators, political dynamics, and market trends to craft weekly reports.
Developed a Python-based application to aggregate real-time economic data from the Fed and Bloomberg, optimizing market analysis.
Conducted advanced data analysis on macro, labor, and development economics using Stata and econometrics for high-impact research.
Engaged in fiscal and monetary policy discussions at the Board of Governors, World Bank, IMF, JP Morgan Chase, and US Senate.
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 Virginia - ICAP, and Wond’ry at Vanderbilt.
Co-founded the first virtual science fair in Brazil, impacting 700+ scientific projects from 2000+ students across the country.
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.
Led a 4-week Innovation Marathon for students to solve real-world challenges of 8 nonprofits, e.g., Khan Academy, Lemann Foundation.
Gained expertise in experimental design, data collection, and statistical analysis for cancer research published in Nature Cell Biology.
Developed functional heart tissue from stem cells and a cell therapy project for leukemia, gaining expertise in targeted biotech therapies.
Technical: Python, R, Stata, SQL, Power BI, Tableau, VBA/Excel, LaTeX, MS Office, Adobe Cloud.
Certifications: Artificial Intelligence & Machine Learning (University of Chicago), Bloomberg Market Concepts (Bloomberg).
Languages: Portuguese (Native), English (Fluent), Spanish (Intermediate).
Interests: Live TV Tapings, Road Trips, Stand-up Comedy, Broadway, Cinema, Hiking, Kayaking.