Prognostics and Data Analytics Scientist @ 1. Deliver machine learning solutions for predicting failures of downhole tools and surface equipment. 2. Contribute in products and service that require data science competency. 3. Adopt and apply state-of-the-art ML techniques, including Python scikit-learn library, Apache Spark platform as well as its MLlib package. From August 2014 to Present (1 year 5 months) Houston, Texas AreaPhD Researcher @ Research and industry projects in area of Prognostics and Health Management (PHM) for applications including: • Renewable energy // Rotary machinery // Manufacturing process // Hydraulic components // Vehicle system // Ship system Main responsibilities include: • Technical development // Algorithm application // Sensing & instrumentation // Project management and coordination // Coordinating and conducting technical training // Lab management // IT management // Organizing and hosting exhibition & demonstration From September 2008 to July 2014 (5 years 11 months) United StatesTeaching Assistant @ Teaching assistant to E-manufacturing course for undergraduate and graduate level engineering students. Responsible for tutoring Prognostics and Health Management (PHM) tools, designing and advising student project based on real-world machine data. From January 2011 to April 2014 (3 years 4 months) Cincinnati AreaSummer Research Intern @ I worked at the Service Innovation Research Dept. of Yokohama Research Laboratory, in collaboration with Hitachi Construction Machinery (HCM). I mainly conducted systematic predictive analysis based on large volume of operation and maintenance data, as well as condition data, collected from HCM's Global e-Service system instrumented on its mining assets. From July 2013 to September 2013 (3 months) Yokohama, Kanagawa, JapanVisiting Researcher @ Technical training of PHM techniques; instrumentation and data analysis with strain and acceleration data from press machine to conduct health monitoring ; energy monitoring for CNC machine. From July 2011 to September 2011 (3 months) Corporate Intern @ Engineering Innovation and Technology internship at corporate headquarters in Mayfield, OH with Fluid Connectors Group From July 2010 to September 2010 (3 months) Assistant Engineer @ Worked in Supplier Quality & Development group under Purchase Department. Assisted in part measurement, supplier communication and supplier information management. From July 2007 to September 2007 (3 months)

Doctor of Philosophy (Ph.D.), Mechanical Engineering @ University of Cincinnati From 2008 to 2014 Bachelor of Science (B.S.), Mechanical Engineering (pilot class) @ Shanghai Jiao Tong University From 2004 to 2008 Wenyu Zhao is skilled in: Python, Machine Learning, scikit-learn, Apache Spark, MLlib, Matlab, Data Analysis, Signal Processing, Data Mining, NI LabVIEW, Pattern Recognition, Sensors, SAS, Project Management, Unigraphics