Shanjing Kang

Recent graduate with foundational knowledge in Actuarial Science, and hands-on experience gained through academic projects. Demonstrates strong teamwork, problem-solving, and time-management skills. Seeking an actuarial internship to apply statistical and mathematical knowledge in a professional setting.

• Society of Actuaries Exam P (Probability) – Passed
• Actively pursuing additional actuarial exams

Time Series Modeling and Forecasting (SAS)

• Analyzed time-dependent data to identify seasonality and trend
• Used autocorrelation to determine model structure
• Built and tested forecasting models (exponential trend with seasonal dummies, AR errors, Winter’s smoothing, Box–Jenkins)
• Applied log transformation and differencing to stabilize data
• Evaluated models using white noise diagnostics and RMSE
• Compared short- and long-term forecasts to select a final model
• Summarized model results and interpretation in a written report

Data, Financial, and Database Modeling

• Built Excel-based models to analyze costs, cash flows, and performance
• Designed structured databases for data validation and retrieval
• Performed data reconciliation and summary analysis

Python Programming and Quantitative Computing

• Used Python to solve mathematical and algorithmic problems
• Implemented basic numerical and logic-based solutions