SUMMARY * BS, MS and Ph.D. in Applied Mathematics * Ph.D. dissertation in Machine learning methods for authorship attribution * Five years of experience in machine learning algorithm design in academia and two years in industry * Project experience in signal processing, text mining and image processing * Expertise includes machine learning methods (SVM and Naïve Bayes, KNN, Decision Tree, Clustering, K-means, Feature Selection, PCA etc. ), natural language processing, data mining, statistical analysis (Linear Regression, Logistic Regression, Multivariate Regression), fast numerical algorithms (finite difference, finite element, Fast Fourier Transform, Wavelet Transform), large-scale simulations and parallel programming (OpenMP), High Performance Computing * Expertise in Matlab, C++ and Python including ML libraries MLlib, SVMsilver, LibSVM * Additional technical skills include: Mathematica, OpenMP, Linux, Latex, Word, Excel, PowerPoint, Mac OS, Windows * SAS Base Certificate and SAS ADV Certificate * Excellent interpersonal, communication and presentations skills, a strong team player * Patent: X, Hu, Y.Fu and Y, Ge, China social media data collection and sentiment analysis, Ford Motor Company, filed in Feb 2016, completed in Mar 2017.

Highlights:

• data mining
• Natural Language Processing
• Pattern Recognition
• text mining
• machine learning
• image processing
• SQL
• Statistics regression
• Apple MacIntosh Operating System
• SAS
• C++
• Matlab
• Python
• Mathematica
• Latex
• MS word
• MS excel