Good at Mathematical/Computational works.
Familiar with Machine Learning, data processing and modeling with Python
Experience
State Development and Investment Corporation
Jun 2024 – Aug 2024
Shanghai, China
Quantitative Developer Intern
• Collected and analyzed market news and reports using REST API, GPT models and BERT, to identify key trends in
traditional fuel and EV brands from 2020 to 2023, automated financial data processing pipelines using Python and SQL,
reducing data processing time by 34%, leading to more efficient strategic investment recommendations
• Developed automated trading strategies, applying statistical arbitrage models with Backtrader to optimize portfolio
performance, improving Sharpe ratio by 13% and execution efficiency by 20%, by integrating real-time market data
from Wind Financial Terminal API
• Built an automated report generation model by processing meeting audio, presentation materials, and financial reports
using Python, Whisper, and GPT models, extracting key content, improving reporting accuracy and efficiency by 60%
Beijing Tianrun New Energy Investment Co.,Ltd
Jul 2023 – Aug 2023
Beijing, China
Quantitative Developer Intern
• Developed financial models utilizing Monte Carlo simulations and Python libraries such as NumPy and Pandas to assess
risk exposure in renewable energy projects, improving risk-adjusted return forecasts by 22% and enhancing capital
allocation strategies
• Implemented web scraping techniques using Python, BeautifulSoup, and Selenium to extract over 10,000 data points
from financial and policy sources, improving the investment model and generating comparative reports for potential
projects, leading to a 20% increase in project approval efficiency
• Improved an IRR model for the Hunan Zhangbei Wind Energy Project using Excel VBA and Python, increasing
accuracy and reducing data processing time by 18%, facilitating more precise investment evaluations