Responsible for enterprise-wide business intelligence/analytics strategy and implementation focused on business growth.* Built scalable Data Architecture and Analytics solutions that address growth supporting all business functions.* Setup a cost-effective BI development ecosystem with Agile processes, Service Desk, Automation, and Monitoring tools.* Implemented Analytics processes, ML tools to generate insights for business functions.

Lead analytics advisory and data science function : Responsible for organizational growth (Revenue, EBITA, Solutions, People) for Data science and analytics function.* Collaborate with CxOs to develop business use cases, designing value driven analytics solutions, implement solutions by bringing together right Talent, Processes and Technology* Provide thought leadership in deploying Emerging technologies (Data lake, Parallel computing, Analytics tool stack) in running Machine learning, NLP and Predictive / Optimization models for near real time applications* Help IT and Business leaders at organizations to implement Data science programs / ‘Insights as a Service’ model by developing Program governance model, Rapid development / Fail fast approaches, Resource capacity planning models* Develop Go-to-Market strategy, partner with sales and account teams, understand customer needs and pain points, consultative sales, create value proposition and deal closure. Develop and execute brand awareness through open forum discussions, webinars, workshops and conferences. * Experience in developing solutions around Customer Intelligence, Brilliant factory/digital manufacturing, IIoT, Marketing & Campaign performance..

Summary – Leadership in Data Management and Analytics strategy across Industrial, Healthcare, Pharma and Life sciences businesses* Proven ability in working with 'C' level client executives to understand business requirements and develop analytics solutions. Have managed end-to-end implementation and transition of developed solutions. Served as Client Relationship Manager for those accounts. * Proven ability in developing data management strategy. Experience in designing data models, data flow mapping across multiple systems, data acquisition including building HL7 interface spec, data transformation, Data quality, Storage and Standardization.* Experience in developing analytical models including Forecasting, Regression, Correlation, and Linear programming using SAS. Experiences in exploratory analysis, cost-benefit analysis, spend analytics and business reporting.* Experience in process re-engineering, process improvement methodologies like Lean and Six-sigma to improve operational metrics. Working experience in creating simulation of discrete event systems in healthcare domain to improve care delivery and optimize capacity. * Worked on developing Prediction application (deploying forecasting, optimization algorithm and heuristics techniques) from concept to commercialization in forecasting short-term capacity demand at hospitals to optimize capacity requirements, staffing and balance demand. * Have developed Optimized Master production schedule for process manufacturing to reduce manufacturing span and optimize Inventory. Also have developed statistical models around Logistics optimization and spend.* Support executive management with emerging trends and insights to develop new analytic solutions and offerings.* Certified Lean Six-sigma (Green Belt)Skills: R, Python, SAS, SQL Server, MS Access, VB.net, Dundas Visualization tool, Crystal ball, MS Project / Visio / Office suite

* New Product Introduction* Product Development - Design change requirements, Prototyping, Fuel system testing and Production release* Experience in development of Diesel Electronic Fuel Injection Systems & CRDI* Experience in Diesel Engine testing, development and certification* Experience in Client Management