Sum	Strong practical knowledge of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining and optimization techniques. Expert knowledge of statistical analysis tools such as R-programming, MATLAB, Spark, SAS (Statistical Analysis System), R/Spark, Apache Hadoop and Cassandra.