I graduated in 2024 with a B.A. in Applied Economics and an M.S. in Data Science. Since 2021, Iโve been engaged in low-frequency quantitative investing through internships and full-time roles, focusing heavily on Python development, data analysis, and quantamental research. I independently built a backtesting and real-time updating system, and have conducted both academic and industry-driven analysis. My work integrates fundamental and quantitative approaches with advanced neural network modelsโsuch as in my masterโs thesis, which explored mutual fund shareholdings using embedding methods. After 1.5 years in my first full-time role, I transitioned to pursue a more self-directed and flexible career path.
| ๐ Nationality | ๐จ๐ณ China |
| ๐ก Residency | ๐จ๐ณ China |
| ๐ Location | ๐จ๐ณ China |
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| Skilled in | python sql jupyter notebooks api integration vision control scripting statistical modeling time series analysis back testing frameworks data visualization unsupervised learning neural networks model evaluation tuning quantitative finance factor investing low frequency trading portfolio optimization econometrics fundamental analysis linux basics docker latex ms office |
| Fluent in | englishmandarin |
| Last seen | 1 year ago |
| Signed up | 1 year ago |
| Badges |
๐จโ๐ป Remote worker ๐จ Maker ๐ Early adopter |
2023 - 2025: Quantitative Analyst @ Tenbagger Capital
2022 - 2022: Quantitative Research Intern @ U Capital
2021 - 2021: Quantitative Research Intern @ Qilin Investment
2023 - 2024: STOCK EMBEDDINGS AND STOCK CORRELATION FROM MUTUAL FUND HOLDINGS
2023 - 2023: Predicting Monthly Returns Using Supervised Learning
2022 - 2022: Air Quality Index Analysis
2022 - 2022: Prospectus Text and Green Bond Issuance Spread
2021 - 2021: PCA, 2DPCA, & L1-Norm-2DPCA
2020 - 2020: Empirical Study on International Terrorism
2022 - 2024: Master of Finance & Business Analytics @ Peking University
2018 - 2022: Bachelor of Economics @ Peking University
2015 - 2018: High School @ Zhenhai High School of Zhejiang