Fan Peng

Dynamic researcher with hands-on experience at Guangdong Southern Financial and Cultural Media Group, specializing in data analysis and statistical modeling. Proficient in Python and R, I delivered impactful research reports and visualizations, contributing to published works that informed key economic decisions. Strong analytical skills paired with effective communication drive my success in delivering actionable insights.

Worked on a multivariate analysis project for brain imaging on the ABIDE dataset, extracting neural patterns using Principal Component Analysis (PCA), Factor Analysis (FA), Typical Correlation Analysis (CCA), Time Series Analysis (TSA),

and completing a term paper on the topic of 'Multivariate Statistics in Brain Imaging Research in Autism.'

Participated in a project that used multiple regression models to analyze key factors affecting home prices in Ames, and construct an interpretable predictive model. The core process included data cleaning, modeling, and multiple model optimizations (variable selection, transformations, diagnostics), and ultimately selecting a model that performed optimally on each metric (R², AIC, BIC).

Participated projects use Poisson and negative binomial regression models to analyze how literacy, age at marriage, and region affect family size (number of children)