Vicky Wang
State College,PA
Summary
Finance student at Penn State’s Smeal College of Business with a minor in Management Information Systems. Interested in finance, business analytics, and technology. Experienced in academic projects involving portfolio analysis and business data analysis, with skills in Microsoft Excel, PowerPoint, Word, and basic SQL. Seeking opportunities to develop professional experience and apply analytical and problem-solving skills.
Overview
3
3
Languages
1
1
year of professional experience
Work History
Student Worker
Penn State Campus Dining
State College, PA
10.2025 - Current
• Supported daily dining operations by delivering prompt service to students and guests in a fast-paced environment. • Coordinated with team members to complete daily tasks and ensure seamless dining operations. • Ensured cleanliness and compliance with food safety and workplace procedures.
Education
Bachelor of Science - Finance
Pennsylvania State University
University Park, PA05.2027
Skills
- Friendly, positive attitude
- Basic SQL
- Teamwork and collaboration
- Customer service
- Problem-solving
- Attention to detail
Languages
English
Professional Working
Chinese (Mandarin)
Full Professional
Japanese
Limited Working
Timeline
Student Worker
Penn State Campus Dining
10.2025 - Current
Bachelor of Science - Finance
Pennsylvania State University
Academic Projects
Portfolio Analysis Project | FIN 406 — Penn State
• Constructed and evaluated a diversified investment portfolio across U.S. large- and small-cap equities, international and emerging-market stocks, commodities, and fixed income.
• Evaluated risk-adjusted performance using the Sharpe ratio, Jensen’s alpha, and Treynor ratio.
• Compared portfolio performance against a market benchmark and analyzed returns and systematic risk.
• Presented findings and recommendations as part of a team project.
Nike Business Analytics Project | MIS 301 — Penn State
• Collaborated with a team on a Nike-focused business analytics project.
• Analyzed business data to identify trends and support data-driven recommendations.
• Presented findings and recommendations as part of a team project.