Transitioning 250 BI application from Boehringer Ingelheim (BI) internal IT, setting up BIAA Global RUN managed services program. Deliver 24x7 support services for 80 countries.
Significant cost savings with outsourcing of customer internal IT and headcount reduction.
▪ Multiple Data Management and Analytics projects in BI Human Pharma & Animal Health area.
▪ Global program to integrate Veeva based Sanofi 1CRM platform with various local, global systems through multi country roll-out. CRM system is hosted in AWS and Informatica Cloud.
▪ CRM Performance Dashboard (Including Call Analysis/Account Plan Report).
▪ Sales and Revenue forecasting, customer life time value analysis, Adverse Event Reporting, Drug effectiveness reporting, Treatment pathways and patient journey for health outcomes.
▪ AI and Machine learning based Customer journey, churn and recommendation model.
▪ Allegis support and enhancement projects in Data Integration, Data Quality & visualization area.
▪ Ensuring all deliveries are within defined KPI, SLA, CSAT and CSI target.
▪ Manage relationships, Convey market and customer feedback to delivery and practice team
▪ Identify opportunities of growth in the account and lead account strategy and planning.
▪ Steering efforts to meet defined P/L, margin, revenue targets on a consistent basis.
▪ Continuous service improvement through technical accelerators and customized KPI dashboard.

Program management, oversight in multiple TME (Telecom, Media, Entertainment) projects.
▪ Managed customer like T-Mobile, UBM, Rogers, Fox, Disney, Warner, MGM. Team Size: 400+ ▪ Managed E2E large scale Transformation and Development program in Digital, IOT, Bigdata, Analytics, Data integration program using DevOps and Data Lake transformation space. ▪ Enhancement and support project for NBCU, migration to Bigdata solution from Teradata ETL. ▪ Design and Development of Emotional Analytics IOT solutions by capturing Biometrics data.
▪ Managed new development for Rogers IPTV platform launch in Subscriptions, Usage Data, Asset Billing, commissions, settlement, smart home monitoring, Home product.
▪ Modernization of legacy process for sales, marketing, revenue, customer metrics, wireless, performance tracking in Digital and CRM platform.
▪ Studio & TV Analytics, Multi-Channel Analytics on a Centralized Platform, Customer 360 degree, Cross sell and up sell, Viewers ship engagement and retention.
▪ Facilitating multi-vendor engagements; monitoring and ensuring all work commitments of vendors like IBM and HCL are completed as per the contractual specifications.
▪ Own end to end sales process from lead identification to project initiation.
▪ Contribute in RFP, Pre-sales initiative, Solution, Demos, customer visits and growth of the sector.

Involved in the complete project life cycle from responding to RFI/RFPs, validation of estimations, solution designing to signing off on financial, technical & commercial elements.
▪ Executed and Managed multiple projects provide delivery oversight, track/review, handle escalation and supporting pre-sales activities. Portfolio of 700+ head count.
▪ Represent respective delivery organization in Senior Management reporting and reviews.
▪ Engineering/Technical Management of multiple projects in Enterprise Content Management, Bigdata and Analytics space. E.g. Michael Kors, Hess, Lowes, SWA, Amgen, HBO, Novelis.
▪ Led the industrialized managed service centers (IMSC) as part of a productivity improvement initiative; delivering projects to multiple clients through shared services model.
▪ Generated 15%-20% cost savings through enablers like technical accelerator/automation, application renovation, productivity improvement and lean implementation amongst others.

Setting up and growing the ADM part of the IKEA account to USD 10+ MN
▪ Expanded the portfolio through first generation outsourcing and transformation program
▪ Grew the offshore component from 20% to 55% and resources headcount from 30 to 120+
▪ Delivered multiple applications services in retail web, mobile web, order management, supply chain management, ecommerce solutions, business intelligence & integration space.
▪ Handled pre-sales activities and contributed to the sales by expanding the existing buying points of the client; managed delivery & governance processes in a multi-vendor environment.
▪ Defined the overall SDLC process framework for the client in Agile, RUP and Waterfall methodologies; Continuous integration and TDD using Maven and Jenkins.
▪ Analyzed, designed, executed End-of-Service Life Cycle Program; migrated & upgraded version of various applications and platforms to newer technologies.

A large Oil corporation wanted to improve existing Bigdata architecture, implementation and tool set. Objective is to improve the speed, agility, automate existing data ingestion process and to enable self exploration to the users. A six week architecture assessment was carried out to understand the current implementation e.g. operations and technical aspects of Big Data use case. Recommend best-fit solution architecture.

One large North America client wanted to decrease growing storage and ETL costs through Data Storage offload, a cost effective, enterprise-grade platform that can scale to potentially support 1 million devices worth of data, in a secure, reliable manner and while simultaneously increasing the opportunities for improved data discovery and analysis. This was a RFP proposal where client wanted to implement full end-to-end logical Big Data architecture, integration points with existing architecture and the recommended infrastructure required to support with non functional requirements.

A large North America Pharma company wanted to move into Big data based Enterprise data lake implementation from ETL based solution. Build and enhance analytics capabilities, enhance multiple platform stability. Business need was to transform and improve Information System processes, systems & infrastructure to drive speed and efficiency, transform the process development capability. Aggregate, store, and integrate Big Data across, enabling data accessibility, insights, and decision support for users.

There was a need to process large data in a faster and cost effective manner since data volumes have been growing. Existing Informatica with Teradata solution was not scalable, interface with multiple vendors increased and meeting SLA remained as challenge. Replaced the legacy Informatica with Big Data based solution. Performance and cost improvement was observed through use of in-memory technology. Processing time drastically reduced.

Marketing faces a high level of challenge for predicting ROI. This unpredictability makes movie business one of the riskiest endeavors for investors. Need a more dependable system than unassuming predictive analytics and conventional market research. Measure Audience/consumers emotional engagement by sensing pulse rate, breathing, skin sweat or motion responses to a particular campaign. Create Analytical models for the above Biometrics assessment. Evaluate campaign creative & proactively align the product or promotion plan with the public sentiment and generate higher revenue.

As a part of Digitization program one of the large Theme park and leisure operative from Middle East, wanted to design and build a technology platform that can power the experience of the different theme parks that are currently part of the Clients estate and also for new parks and attractions that will be added. Primarily the need is to Build Data Management platform which involves data acquisition/extraction from various source systems, data ingestion into a centralized raw data store, data processing engine, an Enterprise Data Warehouse, build Single Customer View (SCV) that provides 360° view of the customer across Clients assets, build Business Intelligence Reporting application to provide business performance indicators/trends analysis leading to actionable insights.

In current business trend, maintaining unbroken temperature control over food and pharmaceuticals is mission-critical in the food service and life sciences industries. Use case is an IOT based solution which can monitor and control temperature, track any damage or theft of shipment to ensure problems are avoided or mitigated. Multiple sensors were used, data was collected through gateway to IOT platform and then through Web services data was pushed to Data Lake, Analytics was build out through connectivity to Data Lake.

Use case was to monitor the temperature, humidity, appliances & power condition of a home. Different sensors data is captured and passed through gateway to ThingWorx IOT platform in a defined frequency for real-time monitoring. Mashups are created for Actionable insights to control.