Summary
Yingzi Wang is a Senior Data Scientist based in Seattle with three years of hands-on experience building ML systems, designing experiments, and engineering data products at companies including ByteDance, Amazon, Snap, and Target. She combines strong statistical foundations—causal inference, time series and predictive modeling—with big-data engineering skills in Spark, Hadoop, Kafka and AWS to move models from prototype to production. Her background spans portfolio optimization and product analytics to end-to-end ML pipelines, and she is comfortable implementing modern NLP (transformers/BERT) and deep learning solutions. Yingzi’s mix of finance training and business-analytics master’s work gives her an edge in translating complex causal questions into actionable experiments and robust models.
3 years of coding experience
6 years of employment as a software developer
Bachelor's degree Finance General, Bachelor's degree Finance General at Zhejiang Sci-Tech University
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at University of Minnesota - Carlson School of Management
Chinese, English, French