Qihang Zhou
qhzhou@bu.edu 617-639-6648 Boston, MA
Relevant Courses: Microeconomics, Macroeconomics, Econometrics, Calculus, Statistics, Economics
Education
- Boston University (BU), Boston MA
- Bachelor of Arts and Science in Economics
- Expected: 2027
- Relevant Courses: Microeconomics, Macroeconomics, Econometrics, Calculus, Statistics, Economics
Work & Internship Experience
Shanghai Reigncom Biotech Shanghai, China
- Conducted financial data analysis using Python and SQL, improving reporting efficiency by 20%
- Developed econometric models to analyze market trends and forecast industry performance
- Presented findings to senior analysts, influencing investment decisions
Projects
Stock Market Prediction Using Machine Learning
- Built a predictive model using Python (pandas, scikit-learn) with 85% accuracy
- Applied time series forecasting techniques to analyze historical stock trends
- Implemented feature engineering to enhance model performance by selecting optimal financial indicators
Game Theory Application in Market Competition
- Modeled strategic interactions in oligopolistic markets using Nash equilibrium
- Analyzed real-world applications in tech industry competition
- Implemented feature engineering to enhance model performance by selecting optimal financial indicators
Cryptocurrency Market Sentiment Analysis
- Collected real-time Twitter and Reddit data using Tweepy and Pushshift API to analyze public sentiment on cryptocurrency trends
- Applied Natural Language Processing (NLP) techniques (VADER, TF-IDF, BERT) to classify sentiment polarity (positive, neutral, negative)
- Developed a machine learning classifier (Logistic Regression, Random Forest) to predict Bitcoin price movements based on sentiment scores
Economic Indicators and GDP Forecasting
- Analyzed macroeconomic indicators (inflation, interest rates, unemployment) using Stata and Python to study their impact on GDP growth
- Developed multiple regression models and Vector Autoregression (VAR) models to forecast GDP growth rates
- Conducted principal component analysis (PCA) to reduce dimensionality and extract key economic drivers
Skills
| Skill Category |
Specific Skills |
Proficiency Level |
| Programming |
Python |
Advanced |
| Data Analysis Tools |
Stata, Excel |
Intermediate |
| Mathematical & Statistical Techniques |
Probability Theory, Regression Analysis, Time Series Forecasting |
Advanced |
Extracurricular Activities
- Economics Club, BU – Organized guest lectures on financial markets
- Coding for Data Science, BU – Developed real-world data-driven projects
- Volunteer Tutoring – Assisted underclassmen in calculus and economics
Useful Links: