Weiling Li Email & Phone Number

Boston, Massachusetts, Us

FindingSchool.com is a small size internet startup, I've been working in an agile team for three years, and my major roles include:• Queried and combined data from multiple sources, including MySQL, Google Analytics, or other public databases regularly to create models or dashboards for the company's online business• Collaborated with the data team to perform routine raw data cleaning and deal with other data irregularities such as missing value imputation• Implemented performance dashboards for both internal users and external B2B customers to monitor their performances• Led the private high school evaluation project, created a model to evaluate the overall performance of private high schools in the U.S.• Collaborated with the implementation team to build the company's data infrastructure• Applied A/B testing for the company's web-based productsBecause of the small size, upon needs, I was also able to wear different hats, such as seasonal data collecting, planning, and managing the logistics of offline services.

Boston, Ma, Us

• Applied both bootstrap lasso regression model and the elastic net regression model with time-domain cross-validation model to select features• Incorporated existing packages to establish a uniform procedure and a unified code for the whole project enabling other team members to conduct their analysis• Currently in a process to build both GARCH and LSTM network models to project the movement of a mutual fund under different market conditions• Presented methods, results, findings, and insights to both the technical team and higher-level managers from the client's company

Boston, Ma, Us

During fall 2019:Project 1:• Used the chi-square test and polychoric correlation to examine the association between survey respondents' demographics and responses• Addressed multiple comparisons problem and explained the difference between Bonferroni and FDR correctionDuring spring 2020Project 2:• Processed genetic data(15 samples, 3000+ predictors), applied Multiple Co-Inertia Analysis to analyze the difference in gene expression of different micro-organisms under the same controlled environment.• Prepared fake dataset and manuscript to the client explanning the actual R implementation

Boston, Ma, Us

• Used Yelp Fusion API to implement functions to request real-world data from yelp.com• Performed cluster analysis using gaussian mixture model and validated the results by comparing them to the actual geographic planning• Built an R shiny app to demonstrate findings, combines maps and analysis to show how restaurants cluster by cuisine and geographic area. link to the published shiny app: https://weiling.shinyapps.io/Final_Project/

Boston, Ma, Us

• Built a multilevel logistic regression model that correctly estimate the risk of delinquency given the credit history• Interpreted model coefficients and explored the risk of the high interest rate

Master Of Science - Ms, Statistics

Master'S Degree, Geometry/Geometric Analysis