Welcome to Fangyuan's Website!

My story

Greetings! I'm currently a first-year master student at University of California - Berkeley, majoring in statistics.

I've been working on multi-factor model and big data analysis in high-performance database when interning at xQuant and DolphinDB.

My research interests are statistical learning, database optimization, statistical compu-ting, and data analysis.

I'm passionate about data science and ready for challenges.

Research

Analysis of the Volatility of China Financial Markets Based on the View of Hurst Statistics Advised by Prof. Weilin Xiao, I participated in the National Statistical Modelling Competition in China. We built a new statistics using MATLAB to estimate the Hurst Parameter of China's finance market. Our paper won the provincial first prize.

Solar Panel Energy Prediction Study Using Machine Learning I participated in the GEARS program at NC State University, advised by Dr. Majed. As a team of two, we analyzed and predicted the solar panel energy consumption in the U.S., and proposed references for the decision-making of installation. Our work won an Honorable Mention.

Projects

Graphical Tools of Item Response Theory Model Assessment I implemented the paper - Graphical Tools of Item Response Theory Model Assessment (linked by the icon above). The program can detect IRT models' fitness by observing the generated images.

A Mind Mapping Tool Built in C A self-designed mind mapping tool built in C. I was mainly responsible for the drawing part of the graphic.