Fang Y.

Fang Y. is an experienced data scientist with a strong background in predictive maintenance, data mining, and statistical analysis. Currently at Western Digital since August 2018, Fang Y. leads a large-scale predictive maintenance project involving cross-functional collaboration. As an adjunct faculty member at International Technological University since May 2015, Fang Y. teaches data mining concepts and applications. Previous roles include data scientist at Kohls Digital Center, focused on sales forecasting models, and statistician at Western Digital managing statistical training initiatives. Early career experience includes QA engineering at Blackhawk Network and a graduate assistant position at the University of Alabama, where Fang Y. conducted data analysis. Educational qualifications include a Master's and Doctorate in Applied Statistics from the University of Alabama, a Master’s in Economics from Renmin University of China, and a Bachelor's in Applied Mathematics from Shanxi University.