Hai Yang Email & Phone Number

• Profound knowledge of applied statistics, such as linear, non-­linear and logistic regressions,experimental design, time-­series models, multivariate analysis and hypothesis testing• Machine Learning knowledge such as neural networks, support vector machine (SVM), K-­meansclustering, principal component analysis (PCA), anomaly detection, recommender algorithms• Proficiency with SAS, R and MySQL programming, advanced Excel and PowerPoint skills• Multi-­task person with logical thinking, self-­motivated and fast-­learningProgramming skills:• R (5 years) -­‐‑ Data management, graph data, model selection, model check• SAS (4 years) -­­‐‑ SAS/SQL, Base SAS, SAS/STAT, SAS/Graph and SAS/Macro, SAS/ODS• Python (3 years) --- Machine learning, deep learning, NLP• MySQL, Shell script, etc; Comfortable among Linux, Mac and Windows platforms.Trainings:• Data Science | Johns Hopkins University | Coursera (R) (on going)• Deep Learning | deeplearning.ai | Coursera (Python) (on going)• EPIC Cogito Fundamentals: Radar Dashboards, SlicerDicer, Workbench, Reports (on going)• SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling• SAS Certified Advanced Programmer for SAS 9: SQL, Macro & Advanced Techniques

Listed skills include R, Statistics, Sas, Experimental Design, and 12 others.