Jingwei Guo

I am a data-driven analyst with a Bachelor of Science in Management Science from UC San Diego, specializing in economics, finance, and operations research. Through internships at global consulting firms and top hospitality companies, I have developed expertise in customer segmentation, financial modeling, predictive analytics, and data visualization. My experience spans building machine learning models, conducting A/B testing, optimizing ETL pipelines, and creating interactive Tableau and Power BI dashboards to enable data-informed decision-making. Skilled in Python, SQL, R, and cloud technologies, I excel at transforming complex datasets into actionable insights that drive business growth, mitigate risk, and enhance operational efficiency. I am seeking opportunities in data analytics, business intelligence, or financial planning where I can leverage my technical and analytical skills to deliver measurable impact.

I have worked as a data analyst across marketing, revenue management, financial risk, and human resources domains, applying advanced analytics to optimize business outcomes. My experience includes customer segmentation and campaign optimization at Innova AI Tech using RFM analysis and K-Means clustering; revenue and event performance analysis at The Venetian Resort through automated ETL workflows and Tableau dashboards; fraud detection at KPMG via machine learning models with enhanced recall for rare cases; and employee attrition modeling at Mercer with predictive analytics and interactive BI dashboards. In each role, I have leveraged Python, SQL, and visualization tools to turn complex datasets into actionable insights that improve retention, ROI, and operational efficiency.

I hold a Bachelor of Science in Management Science from the University of California, San Diego, where I studied economics, finance, and operations research with a GPA of 3.6/4.0. My coursework included statistics, econometrics, business analytics, and database management, providing a strong foundation in quantitative analysis, data modeling, and empirical research methods central to data analytics and financial decision-making.