Jasmine Li
University of California, Irvine / Teaching Assistant
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Jasmine Li
University of California, Irvine / Teaching Assistant
Dynamic and challenge-driven PhD candidate in Quantitative Marketing with a robust background in data analysis, business development, and project management. Proficient in Microsoft Office, Power BI, and Python, with exceptional skills in market research, financial modeling, and business strategy. Adept at conducting thorough analyses of market data, supporting sales and commercial teams, and crea
Ambition
In the future
I am excited about the opportunity to integrate my current marketing research with real-world industry applications. By engaging with the industry, I aim to gain new insights and inspirations that can enhance my research. Additionally, applying my skills and knowledge to practical challenges in the industry is something I find incredibly
University of California, Irvine2 years
Teaching AssistantPresent
- Present
Assisted in the instruction of Marketing Research courses with a focus on data analysis techniques. Coordinated with the professor to align course materials, assignments, and grading.
Research AssistantPresent
Research Assistant - University of California, Irvine · Conducted comprehensive data analysis and forecasting for the airline industry, including passenger trends, flight delays, and pricing strategies using Excel, Python, SQL, and R.
University of California, Irvine5 years
Phd in Marketing
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My PhD program encompasses a comprehensive range of advanced subjects, including microeconomics, econometrics, machine learning, marketing models, applied statistics, applied econometrics, game theory, and experimental economics. Additionally, I participate in numerous seminars covering various marketing topics.
University of Wisconsin-Madison2 years
Master of Economics
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My master's program included a diverse range of advanced subjects, such as microeconomics, macroeconomics, econometrics, machine learning, and big data analysis using Python. This curriculum provided a strong foundation in economic theory and quantitative methods, equipping me with the skills to analyze complex data and apply machine learning techniques to real-world problems.