Relevant Modules: Investment and Portfolio Analysis, Regression Analysis, Categorical Data Analysis, Stochastic Process, Random Number Generation, Statistical Inference, Ecology, Evolutionary Biology
Relevant Modules: Computational biology, System biology, data analysis, machine learning
• 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
• Use Naïve Bayes to analyze news sentiment
• Perform stock price prediction using recurrent neural network and reinforcement learning
• Stability analysis of E.coil consortium population
• Use of ggplot, gt packages and interactive graphics with Shiny
• Visualization project on US trading dataset from 2000 to 2020
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