Jiayu(Ricky) Zeng

San Jose, CA 669-***-**** ad3am7@r.postjobfree.com LinkedIn GitHub

PROFESSIONAL PROFILE

Recent Quantitative Economics graduate with a strong foundation in statistical analysis, econometric modeling, and data interpretation. Proficient in R, Python, and SQL, seeking to apply analytical skills in a data analyst or financial analyst role. EDUCATION

San Jose State University - B.S., Econometrics and Quantitative Economics Departmental Honor Graduates Dec 2023

● Relevant Coursework: Mathematical Methods for Economics, Economic Forecasting, Investment Analysis, Econometrics and Research Methods, Quantitative Business Analysis, Linear Algebra, Applied Probability and Statistics SKILLS

Programming: Python, R, SQL

Platform: RStudio, Google Cloud Platform, Tableau, PowerBI Domains: econometric modeling, computer vision, A/B testing Others: Database Management, Machine Learning Basics, Customer Engagement, Communication PROJECT EXPERIENCE

Data Analysis Project on Educational Attainment and Crime Rates, San Jose State University Feb 2023 - May 2023

● Led an independent study to investigate the link between education levels and crime rates in Los Angeles, integrating a thorough review of literature on educational, economic, and demographic influences.

● Employed multiple linear regression models to analyze the relationship between education and crime. Identified significant correlations, demonstrating that a 10% increase in high school graduation rates led to a 15% reduction in crime rates.

● Utilized advanced statistical software and programming languages, including R, Python, and SQL, for meticulous data management and in-depth analysis of over 30,000 data points across 50 neighborhoods.

● Compiled a detailed report to demonstrate that neighborhoods with higher education levels experienced up to a 20% reduction in crime, emphasizing the transformative role of education in societal development and crime reduction. Simulated Stock Market Analysis, San Jose State University Sep 2023 - Dec 2023

● Orchestrated a comprehensive simulated analysis of NVIDIA's stock over five years, starting with a hypothetical $10,000 investment. This strategic approach resulted in a remarkable 6.5-fold increase in the initial investment.

● Employed advanced financial tools like RSI, MACD, and TRIX for informed trading decisions, effectively decoding market trends and identifying profitable opportunities.

● Continually refined investment strategies by transitioning from weekly to daily analysis of market data, thereby enhancing the precision of market predictions and simulation efficacy.

● Conducted rigorous backtesting of various trading strategies under simulated market conditions to assess potential profitability and risk factors.

RELATED EXPERIENCE

Teaching Assistant, San Jose State University, San Jose, CA Sep 2022 - Dec 2022

● Served as the TA for the Mathematical Methods for Economics course covering topics like Linear Algebra, Differential Calculus, and Production Functions, while grading students’ homework on Canvas based on cohesiveness and accuracy.

● Provided feedback to students on their work and identified clear areas for improvement along with suggestions.

● Assisted the teacher in completing the sorting and classification of the test questions for easy correction and review. Volunteer Data Analyst, Shenzhen Charity Federation, Shenzhen, China Oct 2021- Dec 2021

● Participated in data collection and analysis to support the organization's medical aid projects.

● Collaborated with a team to evaluate the effectiveness of charity programs and suggest improvements.