Data Science
Apply advanced analytics solutions using techniques such as data/text mining, machine learning, pattern matching, forecasting, visualization, semantic analysis, sentiment analysis, network, and cluster analysis. Engage multivariate statistics, graph analysis, simulation, and complex event processing. Implement models in machine learning, optimization, neural networks, and artificial intelligence such as natural language, transfer learning, deep learning, and other quantitative approaches.