Olivia Noh

Undergraduate investment organization managing a $100K student-run equity portfolio

• Trained in financial modeling, industry analysis, and equity valuation
• Researched and analyzed selected company to build formal stock pitch
• Scheduled to present investment thesis to executive board for consideration in live portfolio

Student organization focused on leadership development in media, entertainment, and sports industries

• Conducted research on strategies for enhancing social media presence and driving sales in sports.
• Evaluated Instagram performance of OKC Thunder and Milwaukee Bucks to identify strengths and areas for improvement.
• Engaged in discussions on brand strategy, media trends, and consumer engagement with peers.
• Attended panels and networking events focused on marketing and business initiatives.
• Presented final research project to Terry Lyons, veteran NBA executive and sports media expert.

• Delivered high-volume customer service in fast-paced retail environment.
• Managed POS transactions, ensuring accurate cash handling.
• Tracked and restocked inventory using spreadsheets, ensuring consistent product availability.
• Collaborated with team members to streamline service flow, improving overall operational efficiency.
• Assisted with visual merchandising and in-store product presentation.
• Coordinated community events and live performances, increasing customer engagement and store foot traffic.

Conducted independent study on AI and financial markets under guidance of Duke University Ph.D. student

• Applied machine learning concepts to financial time-series data
• Developed trading algorithm to forecast stock price movements based on historical data
• Executed Monte Carlo simulations and performed risk-return optimization analysis to enhance investment strategies
• Applied sentiment and trend filtering analysis to identify actionable market insights
• Evaluated performance using Sharpe ratio, drawdown, and efficiency metrics

• Acquired algorithmic composition skills using Python.
• Employed data sonification techniques to transform datasets into musical compositions.
• Developed coding proficiency in computational sound design.