Tech evolution: IR -4.0, BI, IoT- 3.0, BigData -2.0, Cognitive Analytics 1.0, Data Science/ML ...covering AI, BI, CI, DI, EaI for FIntechCurrently more involved in Technology and Architecture Consulting for Scale, and Business Transformation goals of enterprises. Consulting to BigData Product Engineering firms in the US for Product planning, Market Intelligence etc.At a larger level targeting Social Strength Apps, API Integrations, BlockChain technology and Machine Learning-Feature Engineering in various Industry verticals. Pursuing technology / venturing into Adaptive Software technology.

Currently on Technology Advisory Board of 1 US Mfg Co. and 2 Fledgling US IT Cos.Incubated a startup, promoting Inbuilt Systems (& IP) on: Next generation (SAGE level) BI : Integration of BigData components (like Amalgamation views, Discretized schemas etc): Cutting edge solutions in Design & Architecture for- specific verticals in industries like Insurance, Retail Banking, Manufacturing, Hi-tech & TelcoforAnalytics / BigData Integration with EDW/BIBigData Analytics Consulting, Real-Time Streaming ApplicationsCloud services - Hadoop/HDFS BigData 2.0 / MR 2 Setup FREE Data Ingestion (Upto 1 TB)Data Science excellence center, (CDO : splst Retail Banking)Enterprise Data Strategy1) Practice /CoE/ CoC BI workbench setup with BI Consultants (> 20 yrs experience)2) BI Maturity Assessments; Capability Maturity Model; Road Maps for BI Strategy Implementation; Data Governance with MDM and Business metadata definition framework; 3) Industry specific Data models , Reference Data Architecture with Industry best practices4) Representation for Client visits /Bids /Service-Offerings /RFP Technical preparation-verification for BI Architecture (as Retained Consultant)5) Risk Management Frameworks; Analytics for Risk, Collections heuristics, Call centre, Marketing, Loyalty systems; Operational & Analytical Data Marts; 6) Basel II/III, SII compliance, Risk Flow, XBRL Reproting7) Active DWH architecture with Dual OLAP ODS; Integration of ETL and EAI thru SoA(wsdl)8) Specialist Cards DWH -ODS with Vision Plus integration to Marketing/Loyalty/Retail finance campaigns at POS; to Collections, Call-centre agency mgmt; to CRM - Campaign Management & response integration; to Risk Management & analytics9) Patent pending BI+Big Data Integration models, 9 BI Design Patterns; Bi-directional + Multi-schema ODS; 10) Data science : Machine Learning for auto campaign offering including re-pricing, location and predictive analytics

Contracted to Setup, as Strategy Head, Business Analytics CoC; Global Banking SME : Markets - US, Europe, APSponsored to attend the Global meet of IBM Analytics @ AtlantaConceptualised, Crafted and Created the entire IBM University Faculty training content for over 600 professionals from all over the Globe. Felicitated as Faculty member and delivered month-long lectures at BAU (Business Analytics University) @Bangalore BAO-Centre of Competence

Global Head BI, Lead Practice for Banking & Financial Services,

Head of BI, DWH and CRM Deliveries for multiple JVs - GE Money Bank (multiple lines of Credit, Loans, Mortgages, Customer, SME)- GECF - Managing 15 million Credit Card customers for largest public sector bank in India - SBIBusiness support to CRO, CFO, CMO, COO, CEOArchitecture, Build-design-develop-release-support Rolemanaging between 25-100+ resources incl vendors

Practice Head for BI DW in -Manufacturing, Retail, SCMReal-time Manufacturing , for Semiconductor co -Read-Rite in Palo Alto, CA/USA. Speciality : Use of SECS II / GEMS protocol /PLCs for Real-Time DACS, into MES (Consillium) using Tibco - into ODS, & Analytics -Real OLAP (Microstrategy , Data Stage, Oracle DW

Various technologies - from MES, ERP II, Java/J2EE, Web-B2B/C, EAI, ETL, etc