Summary
Zhixin Jin is an actuarial-trained data scientist and Systems Engineering master's candidate at the University of Pennsylvania with seven years of quantitative experience and a 3.9 BS in Actuarial Science. She has passed multiple SOA exams (P, FM, FAM-S, FAM-L, SRM, ASTAM, PA) and is completing ASA requirements, reflecting deep competence in risk modeling and actuarial methods. Proficient in Python and R, she applies predictive modeling, machine learning, and statistical analysis to solve complex risk and decision problems while expanding into deep learning. Based in Philadelphia, Zhixin blends rigorous technical training with practical problem-solving and a knack for translating stochastic models into actionable insights. Off-hours she balances discipline and creativity as a figure skater, bodybuilder, and cartoon enthusiast—an uncommon mix that fuels persistence and unconventional thinking.
7 years of coding experience
Bachelor of Science - BS, Actuarial Science, 3.9, Bachelor of Science - BS, Actuarial Science, 3.9 at St. John's University
High School Diploma, High School Diploma at Northeast Yucai School
Master of Science - MS, Systems Engineering, Master of Science - MS, Systems Engineering at University of Pennsylvania