• Developed synthetic stock data for S&P 500 companies with a Time GAN machine learning algorithm in Python, enhancing risk factor analysis and enabling macroeconomic scenario analysis for AI risk management• Created an interactive Streamlit interface to visualize and analyze synthetic data distributions across company sectors, improving user engagement and simplifying complex financial insights for scenario analysis• Utilized quantitative, data science, and AI techniques on real financial data including financial ratios, ESG metrics, and portfolio holdings data to gain practical experience for roles in quantitative analysis and data science within the investment industry

• Interacted with thousands of small and medium size businesses every week over phone, email, and text to identify financial painpoints and working capital situations• Navigated variety of small business solutions and team of underwriters and lenders to match merchants with programs whichthey qualified for and best addressed financial needs• Organized lists in Google sheets and company CRM MYRM to make decisions on dynamic and active sales floor

• Accommodate the needs of 200+ wedding guests during up to 5 events per week through attention to detail and excellent customer service to uphold the professional and luxurious standards of venue• Collaborate with maître d', bridal attendant, and 20 other servers to diffuse problems and ensure complete customer satisfaction