Olivia Wang is a business intelligence and data science professional based in Seattle with 8 years of analytical experience and a focused track record at Boeing, FedEx, and Siemens. She holds an MS in Statistics from Carnegie Mellon and combines rigorous statistical modeling with practical BI delivery—building dashboards, anomaly detection systems, and time-series forecasts that drove measurable cost savings and operational improvements. At Siemens she helped avoid $500K+ in excess charges and reduced analytical workload by 20% through rule optimization; at FedEx she progressed from Data Analyst to Senior Data Analyst supporting IT and freight tech. Comfortable translating complex models into actionable dashboards and business rules, she seeks roles as a Data Scientist or Business Intelligence Engineer where insights must be operationalized. A former university teaching assistant and capstone consultant, she brings strong communication skills and a knack for explaining statistical nuance to nontechnical stakeholders. Outside of work she blends academic rigor with enterprise impact, favoring solutions that balance model fidelity and scalability.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Penn State University
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Carnegie Mellon University
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