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自我介绍

自我介绍

本科毕业于武汉大学计算机专业,专业排名前三。研究生就读于康奈尔大学金融工程,17fall申请季斩获Columbia University (FinMath, BA), Cornell University (Financial Engineering), Brown University (Data Science), New York University (Data Science).擅长技术与金融结合,对简历和文书修改擅长。对Technical和Behavioral面试有丰富经验。

教育经历

教育

Cornell

Master Financial Engineering
~

Wuhan University

Master Computer Science
~

经历

Co-Researcher

Wuhan University
~

Performed a deep analysis on a real dataset of NPinter and characterized the factors related to lncRNA sequences
Programmed and optimized algorithm named Linear neighborhood propagation in MATLAB
Researched on related algorithms and conducted benchmark comparison among those algorithms: RWR, LPBNI, CF
Applied cross-validation to assess the performance of Linear neighborhood propagation and achieved AUPR and AUC 0.42 and 0.91 respectively

Quantitative Researcher

Quant Asset Management
~

Utilized SQL Server to collect the stock factors and de-noised the raw data using Python
Developed Random Forest to predict stock trend with accuracy of 64%, and performed Stepwise Regression to optimized trading strategy and gained annual return over 25%

Quantitative Researcher

Changjiang Futures
~

Applied logistic regression classification & SVM to predict the ups and downs of 50ETF in MATLAB
Implemented Skew Volatility strategy to Soybean meal option in Python
Performed regression analysis on futures and options prices during a specified time period after market opening and before market closing, and conducted preliminary data processing using Excel pivot tables and functions in VBA
Utilized the Linear Neighborhood Propagation method to predict the ups and downs of 50ETF and transform this algorithm into trading strategy in MATLAB, back-tested strategy to evaluate their returns

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