Isabel Chen

• ECON 140: Econometrics (R Programming)
• COMPSCI 61B: Data Structures (Java)
• DATA C100: Principles and Techniques of Data Science (Python/SQL)
• DATA C88C: Computational Structures in Data Science (Python/SQL)
• ECON 148: Data Science for Economists (Python/SQL)
• ECON 100A: Microeconomics
• ECON 100B: Macroeconomics
• MATH 54: Linear Algebra and Differential Equations
• STAT 20: Introduction to Statistics and Probability (R Programming)

Research Assistant, Department of Agricultural and Resource Economics

• Worked closely with Professor Francis Annan
• Assisted in literature review regarding nightlight data to define a threshold value to measure poverty levels
• Manage data integrity by handling missing values, encoding categorical variables, and implementing regex patterns to unify formatting for analysis and processing, enhancing quality by 40%
• Built a machine learning model to predict how companies respond to changes in government funding for transportation programs

Head Teaching Assistant, ECON 1: Introduction to Economics

• Prepare and host exam review sessions for over 200 students and rated above average (4.8/5 : 4.4/5) for effectiveness
• Host discussion sections for students and create engaging questions and problem sets for students to practice
• Lead and facilitate weekly meetings with Professor James Campbell and other course staff

Data Analyst Intern, Chem Consulting LLC

• Performed in-depth market and pricing analysis to assess and optimize industry trends, competitiveness, and profitability
• Analyzed large datasets using tools like Excel and SQL, identifying opportunities in underserved market segments, leading to a 15% increase in customer acquisition
• Developed predictive models to forecast market demand, optimizing product positioning and reducing investment risk by 25%

Senior Staff Writer, Berkeley Economic Review

• Published 3 articles a semester on topics in economics such as impacts of COVID-19 on consumption and women's job application behavior
• Interviewed Professor Emi Nakamura about her research in consumer prices and discussed her research in an article

Peer Reviewer

• Reviewed 20+ research paper submissions, providing in-depth feedback on research design, data analysis, and conclusions
• Assessed manuscripts for originality and contribution to the field, and evaluated statistical analyses for accuracy and producibility
• Identified and flagged potential ethical concerns such as plagiarism, conflicts of interest, or data manipulation

Head News Producer, KALX 90.7 FM

• Oversaw a 150% increase in listener engagement for news broadcasting by expanding broadcasting days to Mondays through Fridays and covering topics in the U.S. economy and international news
• Conducted interviews and edited audio for research podcasts about the life of a medical doctor in the former Soviet Union and the US 2024 Election

Head Course Facilitator, English 198: Visual Narratives and Storytelling

• Improved student engagement by increasing visuals and movie clip examples to analyze during weekly lectures
• Introduced weekly office hours to help students work through their project timeline or homework assignments

Lead Editor, English 198: Berkeley Fiction Review

• Led weekly class discussions and editor meetings, establishing publication schedule and discussing the quality of short story submissions
• Worked one-on-one with authors to edit stories and articles before publishing
• Improved outreach efforts by reaching out to universities all over the world, increasing short story submissions by 100%