I work well with the topics related to: 1. Machine learning: Linear regression for prediction, Logistic regression for classification, Support vector machine for classification, the neural network for function approximation or classification, anomaly detection, K-mean for clustering, and recommender system. 2. Deep learning: Convolution neural network (CNN) for classification with high accuracy, Restricted Boltzmann Machine, and Auto-encoder 3. Data Visualization for data analysis 4. Familiar with many datasets 5. Familiar with evaluation metric: accuracy, recall, precision, and confusion matrix. I also have nice "after work" after finishing machine learning model. 6. The programming languages are Python, Matlab, and R.