Summary
Yanfei Wu is a data scientist in the San Francisco Bay Area with a PhD in Materials Science and Engineering and nine years of experience applying quantitative analysis, statistical modeling, and machine learning to a broad spectrum of problems. He is currently a Data Scientist at Retail Solutions Inc., where he leverages programming, data analysis and visualization, and ML to deliver actionable, data-driven insights. His research and industry work include collaborations with Oak Ridge National Lab and Stanford University, and his project portfolio features big-data processing with MapReduce and PySpark, NLP, and predictive modeling such as Yelp rating prediction and music genre classification. A creative problem solver with meticulous attention to detail, Yanfei thrives in interdisciplinary teams and is a fast learner who adapts quickly to new domains and shifting priorities. Based in San Francisco, he maintains an active GitHub presence (yanfei-wu) as he continues transitioning from Materials Science to Data Science.
9 years of coding experience