A Data Analytics leader with global, diverse experience of working in three continents across telecom, airlines, Pharma and insurance domain enabling digital transformation of companies like United Airlines, Allstate Insurance, Nokia Siemens Network,Driving business values through enabling data discoveries, data exploration, driving the design of optimized, scalable cloud based analytical solutions; Data management from clean, store and aggregate data, embed analytics and present it with great visualization to turn data insights into actions for faster decision making. Been part of many data to actionable insights journeys to deliver results . partner with the business to provide actionable insights through advanced analytics, reporting, and visualization.Specialties: Product development & Management; Cloud based data & analytics solutionsDomain specific analytics solution to provide actionable insights to businessInsurance Analytics; Procurement Analytics; Pharma Analaytics; CEM;Building, mentoring, recruiting technical teamsData Analytics Tools Evaluation, Selection, Sizing and ArchitectureOverall Product Roadmap, Strategy, consulting, pre sales to advise best solution for digital transformationData visualization, work flow and user interaction designdata driven Product Development and roll out with customized cost efficient, scalable systems providing data driven insights to end customers.Analytics: Domain specific: Pharma - Sales and MarketingInsurance: GI Claims Analytics, Campaign Management, Salesforce Analytics, SME Market Research, Risk, Retention, Customer, Upsell/Cross sellTelecom: Customer Experience Management (CEM) for telco operators to provide insights Airlines: Cargo Operations, Reservations, Customs, Cargo Pricing Engine, Revenue Management, ULD ManagementProcurement , Finance & Accounting, Retail Brand EquityLeadership:Hiring, mentoring & building BI teamsSetting up end to end data analytics product development teamsExpertise and Experience in Tools & TechnologiesRFP, Pre Sales support, consulting, building data engineering, analytics and visualisation capabilities.Databases: Oracle, PostgresSQL, Netezza, SQL Server, Amazon Red ShiftBig Data (Hadoop/Hive, Cassandra, Storm, Spark)ETL: PL/SQL, Pro*C, Informatica, TalendBI & Data Visualization Tools: SAP Business Objects 31, 4.0, Lumira, Tableau Desktop , Tableau Server , QlikView; Power BIArchitecture: Sizing the right database & BI systems, optimization, performance tuning, migration from RDBMS to big data, database modelling, data warehousing