Summary
Cindy Zhang is a data-driven Pricing and Strategy Analyst and recent UC Berkeley graduate in Applied Mathematics and Data Science, now applying analytical rigor to optimize pricing and strategic decisions at PennyMac. With nine years of hands-on experience spanning data research, finance leadership in student organizations, and internships in industry and academic research, she blends quantitative modeling with operational insight. Her background includes data science internships at Molex, applied research at UC Berkeley's assessment center, and progressive finance roles in The Berkeley Project, demonstrating an ability to translate complex data into actionable business outcomes. Cindy is comfortable in cross-functional settings—from finance committees to research teams—and is particularly focused on leveraging data to improve financial processes and pricing strategies. An early indicator of curiosity and persistence is her long-term engagement in campus leadership and volunteer tax assistance, reflecting both technical capability and a commitment to community impact.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Data Science and Applied Mathematics, Bachelor of Arts - BA, Data Science and Applied Mathematics at University of California, Berkeley
Westlake High School