Caua Victor cauamelo@unc.edu | (919) 590-7100 School Address: Hinton James Drive, Chapel Hill, North Carolina EDUCATION University of North Carolina at Chapel Hill , BS in Economics and Computer Science Chapel Hill , NC • Honors/Awards: Full-ride Scholarship by Behring Foundation; UNC Dean’s List (Fall 2024) • Cumulative GPA : 3.85 /4.00 | Honors Carolina Program (top 10%) • Relevant Coursework: Intro to Economics, Calculus I , II & III , Data Structures Analysis, Statistics Ari de Sa Cavalcante (High School) Fortaleza, Brazil December 20 23 • Top 1% of 3000 students | Full-ride Scholarship holder | Cumulative GPA: 4.0/4.0 • Top 11/150 International Economics Olympiad (open track); Gold medalist Brazilian Mathematics Olympiad. RESEARCH EXPERIENCE UNC Undergradute Research Assistant , Chapel Hill , NC October 20 24 - Present Professor Franklin Qian Conducting empirical research on real estate crowdfunding markets, analyzing capital flows, risk-adjusted returns, and platform efficiency. Leveraging Python (Pandas, NumPy, Jinja2) for quantitative asset valuation, modeling rental yield fluctuations, and pricing liquidity risks. Scraping and structuring data via BeautifulSoup to construct a factor-based real estate index, integrating macroeconomic indicators and sentiment analysis. PROGEPA - Federal University of Ceara, Research Assistant, Fortaleza, Brazil January 20 23 - January 20 24 Used python & R to conduct research in the rural area of Brazil—in the state of Ceará, Santa Quitéria—to assess the impacts on the local economy of harmful uranium exposure in a socioeconomically vulnerable community. Developed a stochastic general equilibrium (SGE) model to simulate regional market distortions, optimizing policy interventions for affected communities. Contributed to two policy reports presented at public hearings, advocating for capital allocation strategies to mitigate economic disparities. PROFESSIONAL EXPERIENCE Latin American Leadership Academy , Ambassador & Consultant Analyst , remote January 20 24 - August 2024 • Conducted financial due diligence on 200+ student applicants, analyzing income distributions, cost structures, and funding allocation models for merit-based scholarships ; developed reports using Tableau and PowerBI • Led partnership negotiations with 5+ public and private stakeholders, structuring agreements to enhance funding scalability and financial sustainability. • Taught calculus of functions and mathematical reasoning, integrating differential calculus and optimization techniques to improve 30+ students’ problem-solving frameworks. PROJECTS VestSmart , COMP290 Final Project, Chapel Hill, NC September 20 24 Developing an AI-based LLM model designed to interact with users, answering questions and providing information about Brazilian exams (vestibulares). Utilizing Python libraries, RAG langchain for generative AI, as well as HTML to create a web interface and an API that manages data on all vestibulares. SKILLS AND INTERESTS Technical : Python (Pandas, NumPy, Scikit-learn), JAVA, SQL, R, Tableau, Power BI, Bloomberg Terminal (familiar). Financial Modeling /econometrics : DCF Valuation, Risk Modeling, Regression, Time Series Forecasting, Stochastic Differential Equations Development Tools: Git, Docker, MS office, RAG langchain ( AI for finance) Ampulheta do Saber , President & Project Manager, Brazil • Led 60+ volunteers across operations, finance, and outreach, implementing OKRs and KPIs to track performance and efficiency. • Scaled platform to 40,000+ annual users across six countries, increasing engagement by 40% through data-driven content optimization. • Launched & managed the National Science Championship (CNs), securing 7,000+ registrants, 75% from public or scholarship- funded schools. January 20 2 3 - August 2024 BTG Pactual , Software Engineering - IT Investment Products , Sao Paulo , Brazil June 20 2 5 - August 202 5 • Designed and implemented microservices in Java (Spring Boot) to support the real-time lifecycle management of fixed-income and structured investment products, including callable bonds and CRIs/CRAs; enhanced system throughput by 35% through asynchronous processing and optimized caching layers using Redis. • Developed ETL pipelines in Python to automate the extraction, transformation, and loading of multi-source market data (e.g., Bloomberg, B3 feeds), enabling near real-time updates for internal pricing and risk dashboards consumed by portfolio managers. • Partnered with investment product managers, quants, and DevOps teams to translate regulatory and commercial product specs into backend architecture, integrating PostgreSQL and RabbitMQ for