Summary
Parker Petersen is a client-focused planning specialist and MS candidate in Business Analytics at Cal Poly with a decade of professional experience blending financial management, data analysis, and fintech interests. He has applied machine learning and statistical modeling across industries—from segmenting customers at AT&T to forecasting renewable generation at ENGIE—while building automated data pipelines and interactive dashboards using Python, SQL, Snowflake, Dataiku, and AWS SageMaker. Parker’s background includes hands-on wealth management work, migrating CRM and tax systems and producing compliance-driven financial analyses for high-net-worth clients. Now based in San Diego, he leverages practical analytics skills to translate complex models into actionable business recommendations for planning and real estate finance. Notably, he combines a business administration foundation with an industrial technology minor, giving him a systems-oriented perspective on operational and financial problems.
10 years of coding experience
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at Cal Poly Orfalea College of Business