Around 16+ years of experience in the Big Data Analytics technology Data-lake & Data-Warehousing, NLP, Semantic Text & Web Mining, Data Mining(including data auditing, aggregation, validation and reconciliation) statistical, conceptual, mathematical, modeling, and predictive analytic expertise, System/Data Integration , Machine Learning Algorithms, Cloud Computing, IoT Analytics, Information Retrieval and Statistical Analytics, Data Warehousing, KDD, Agile development methodologies , SEMMA and CRISP-DM Methodology. • Hands on, highly proficient in Business Intelligence/BIG Data analysis/ Data Mining tools: Python, Tensorflow, PySpark, Scala, R+ language, Tableau 1 0 , YellowFin BI, PENTAHO BI, Splunk, Microsoft POWER BI, QlikView and QlikSense 11,SAS BI, Microsoft Sql Server Integrated Services(SSIS) and Azure Machine Learning with R, Scala, Hadoop with R, Big Data ecosystem (Hadoop, Hive, Pig) / NoSQL databases (e.g., Mongo DB) and Zookeeper), SAS/AF, Spark, Spark ML , MATLAB 2010. • Experience in analyzing the Enterprise IoT using big data ecosystem, perform advanced analytics, discover insights, Deploy analytic, Product & Service Development, Predictive Maintenance, Usage behavior tracking, Operational Analysis, Outcome, Based Service development. ©