Resume

Senior Private Equity Intern | Manhattan, New York

• Managing a team of private equity interns, overseeing the sourcing and analysis of + 50 weekly deals
• Leading technical PortCo operations, developing real-time scrapers, and APIs to streamline backend and generate leads
• Executing leveraged buyouts with high opportunity for add-on investments, capitalizing on multiple arbitrage
• Securing follow-on capital for merger & acquisition strategy, continuously sourcing add-on opportunities

Private Equity Intern | Manhattan, New York

• Lead the integration of iLevel into firm's private equity and credit operations, working directly with President and CFO
• Developed an API via iLevel to digest, manipulate, and customize data integrations, programming in Python, Java, and C#
• Employing: DCF, IRR, LBO, NPV, MOIC, Stress Testing, Precedent Transactions, Cap Rate Analysis, DSCR, SOTP

Investment Analyst Intern | Manhattan, New York

• Conducted financial analysis for +30 commercial real estate acquisitions and developments
• Led a comparative study across REITs, ETFs, and Private Equity investments, achieving 15% risk reduction
• Executed a roll-up merger, consolidating six properties, achieving a 23.7% IRR and a 3.7x equity multiple
• Actively managed portfolio performance, applying metrics to monitor market trends and assess valuations

Founder & Developer

• Engineered a React.js web application leveraging JavaScript, JSX, HTML, and CSS to compress and store syllabi in an SQL database
• Deployed on a Raspberry Pi 5 Kubernetes cluster, serving over 12,000 active users across 5 universities

Founder

• Pioneering a financial technology startup, targeting a +$130B market; recognized finalist in NY state business plan competition
• Engineering a proprietary machine learning algorithm using Python, C++, and C#, enhancing processing efficiency by 70%
• Leading a team of 8 to execute R&D and marketing strategies, achieving 40% increase in quarterly sales

Quantitative Developer & Researcher

• Developed a quantitative trading model using Python, CUDA, MATLAB, and R, deployed on NVIDIA Jetson Orin Nano
• Engineered data pipelines to process financial datasets, compress through tokenization, and remove bias for backtesting
• Applied to equities using machine learning and extensive Python libraries to improve Sharpe ratio