Sum	Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries (via R, H2O, Python, Spark, etc.). Proficiency in programming in Python, R-programming, SQL, JavaScript, Java/Scala/Ruby and shell scripting. Proficiency in consuming REST based API (with JSON payload). Fluency in big data platforms including Apache Hadoop, Apache MapReduce, Hive, Spark, and Pig. Familiarity with Cloud based HaaS/PaaS solutions such as AWS EMR (Amazon Web Services Elastic MapReduce), MS Azure. Strong understanding of data profiling and data cleansing techniques.