resume.Rmd

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# Education
## The Chinese University of Hong Kong (CUHK)  
### BSc in Risk Management Science, Minor in Biology and Statistics (2017- 2021)
Relevant Modules: Investment and Portfolio Analysis, Regression Analysis, Categorical Data Analysis,
Stochastic Process, Random Number Generation, Statistical Inference, Ecology, Evolutionary Biology

## University of Minnesota(UMN)
### MS in Bioinformatics and Computational Biology(2021-2023)
Relevant Modules: Computational biology, System biology, data analysis, machine learning

# Professional and Employment History
## Analysis of wage data in R(2020)
• Generated descriptive statistics and identified multicollinearity among predictors

• Compared the model fitting performance of multiple GLMs and identified the logistic model as the best

• Performed AIC model selection and identified sex, experience and occupation as significant factors of
wage

• Visualize probability and odd ratios change with explanatory variables

## Machine Learning Project
• Use Naïve Bayes to analyze news sentiment

• Perform stock price prediction using recurrent neural network and reinforcement learning

## System Biology Simulation 
• Stability analysis of E.coil consortium population 

## Data Visualization With R
• Use of ggplot, gt packages and interactive graphics with Shiny

• Visualization project on US trading dataset from 2000 to 2020

# Internship 
## Cushman & Wakefield(Shanghai)
Intern, Project and Development Service(2019)
• Cooperated smoothly with colleagues of various nationalities and backgrounds in China Universal
Office development projects

• Analyzed the collected data and venders’ backgrounds, recommended competitive venders after
weighing abilities, qualities and timing of deliveries of services

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