Bengaluru, Karnataka, India
Industry Practitioner with 25 years of extensive experience in all aspects of Advanced Analytics, Business Intelligence, Information Management, Big Data, Cloud, as well as other digital technology initiatives with Fortune Customers spanning Architecture, Strategy & Roadmap, Delivery Management, Consulting & Implementation and Advisory services. Have a passion for technology and combined with deep functional domain expertise across industry verticals have helped organizations develop compelling value propositions that have helped them transform their businesses with Data, Information and Analytics being the key driver. Have a passion for technology and have advised customers on next generation BI architecture. Have conducted multiple sessions for customers as well as senior consultants on topics such as Distributed Computing, NoSql Databases, Semantic web and Machine Learning. Specialties: Pre Sales, Delivery Management, Practice Management, Business Intelligence, Information Management, Big Data, NoSql Databases, M2M, Advanced Analytics, Solution Architecture, Machine Learning, Data Science
CTO and Development Head for Multi Cloud Data Management Services (MCDMS) offering that has assets and accelerators for building a Data Fabric which helps customers get insights from data spread across multiple data silos . Responsible for Business Case approval, Features/Use Cases, Architecture, Development Roadmap, Partner Strategy. Following are High level Use Cases as part of the Offering • Architecture, design and standard Build Services for Hybrid Multi-cloud data fabric • End to end data migration Capability -On-prem to cloud / hybrid cloud, cloud to cloud etc. • Data Modernization – Migration to Hyperscalers , On Premise Modernization (Containerization) • Building Capability in new age data stores such as Object Storage, NoSql Databases, Cloud Data Warehouses such as Snowflake etc • Capability around Data Observability, Reliability, Integration, Governance, Security
Leading a team of Senior Architects and Data Scientists in IBM GTS to Conceptualize and build AIOPS solutions and take those solution to the market. Following are few large Analytics programs initiated and deployed across multiple customers/accounts- • Log Analytics – Integrate Time Series monitoring data with log data by leveraging a distributed and scalable architecture of elastic stack and Kafka deployed in containers and orchestrated by kubernetes. Use case included real time anomaly detection and correlation • ATM Failure Prediction - Developed an Ensemble model to predict ATM failures at component level. Solution predicts ATM’s having high probability of failure in next 30 days. • Data Center Failure prediction - Failure prediction and energy optimization models built for data center and Building components such as Chiller failure, Battery failure, Power Utilization Effectiveness, Air handling Units etc. • Ticket Analytics – Leveraging Text mining techniques to Identify tickets that are similar and Cluster those that have a common resolution and integrate those with automation tools • Golden Signals – Ensemble of LSTM model that predicts real time anomalies and correlates that with past failures to prevent critical downtimes that are caused due to multiple events happening across different layers of the Infrastructure
Global Practice Head responsible for Business Strategy, GTM, Sales, Revenue, P&L, People, Delivery, Solutions, Consulting as well as Customer, Vendor relationships for Advanced Analytics, Information Management, BI/DW, BPM engagements across various industry verticals. Responsibilities: • Preparation of the business plan for the practice in conjunction with all the key stakeholders, including the Go-to-market strategy • Ownership of the revenue and margin numbers for the Practice • Engagement with C level executives in providing executive vision. • Identifying opportunities in Analytics and BPM space in existing accounts and pitch cost effective proactive solutions • Enabling Delivery Excellence and Client Satisfaction. • Led a team that built a digital solution to manage Customer Churn in Insurance domain.
Solution enables Out of the Box KPI for the Service Business by Integrating data from desperate enterprise applications, social media as well as M2M. Uses Machine Learning and Advanced Analytics techniques on Integrated data to get Business Insights that enables Organizations move form Reactive Maintenance to a Proactive maintenance Architected to handle Big Data Volume Responsibilities: Architecting and developing the Solution from design to the end product Defining the Go To Market strategy for the Solution Work with Customer Business Groups and help resolve Business problems around the Service Business. Showcase the solution in Industry Forums
Responsible for delivery of DWH Projects in Manufacturing and Helthcare domain. Responsibilities Include : •Delivery Excellence and Client Satisfaction. •Provide technical guidance to the team during solution Design, implementation and system deployment. •Responsible for SOW negotiations and ensure 100% SLA compliance •Proposal preparation, effort estimation, resource planning and development. •Tracking of new DWH initiatives and providing cost effective solutions to the customer and in effect grow Business •Forecast demands and work with key Business stakeholders to determine future requirements •People Management – Motivate and Retain Talent.
Managed Global Delivery from US.
Worked as an DWH and ETL consultant at HP. Was part of Warranty Management Project and was responsible for design and development of ETL Mappings to load the Warranty data into the Data Waehouse from multiple Source Systems