Hello, my name is Stone. I am a Product Strategy Analyst at GEICO’s Underwriting and Product Management department. I directly contribute to GEICO’s overall growth and profitability by utilizing predictive analytics to help evaluate factors that will enhance our line of insurance products. In this role, I assist in the development of state product strategies by analyzing key performance indicators to draw data-driven conclusions on ways to improve our product offerings.

I consider myself a data guy with strong business acumen. I enjoy utilizing various data analytics techniques and tools to help businesses derive insights from data and make better-informed decisions. I am also able to deliver complex analytical results with stakeholders and leaderships with proven outstanding communication and presentation skills.

I hold a Master of Science degree in Business Analytics at Mendoza College of Business at the University of Notre Dame and a Bachelor’s degree in Logistics Management from Soochow University in China. Before GEICO, I worked at several international companies such as Walmart, Logitech, and Harman.

Skills Highlight:

– Programming Languages: Python (numpy, pandas, scikit-learn, matplotlib, seaborn), R (caret, dplyr, ggplot2, tm)
– Database & Big Data: SQL (SQL Server, MySQL, PostgreSQL), PySpark, AWS, Hadoop
– BI tools: Tableau, R Shiny
– Analytics Software: Excel VBA, SAS EM, SPSS
– Statistics: A/B testing, hypothesis testing, T-test, ANOVA, Robust Linear Regression, Logistic Regression, Possion Regression, Bootstrap Resampling, Mixed Model, PCA, Linear discriminant analysis
– Machine Learning: K-NN, Naive Bayes, SVM, Decision Tree, Random Forest, XGBoost, Neural Networks, K-means Clustering, Association Rule, Text Analytics (sentiment analysis, topic modeling, text classification)

Feel free to contact me via if you want to discuss any opportunities. You can click on the link to access my latest resume.

Go Irish!