Pradeep Nagar Email & Phone Number

Bethesda, Md, Us

As a Director of Digital Data Strategy and Product Owner at Marriott, I have successfully led the development of advanced data products that utilized Marriott’s digital clickstream and traffic source analytics. This initiative enabled the organization to effectively analyze user behavior across digital channels, leading to actionable strategies that significantly enhanced customer engagement and optimized conversion rates. By implementing data warehousing solutions like Snowflake and advanced visualization tools, a comprehensive view of customer interactions was established, driving informed decision-making. This data-driven approach not only maximized marketing effectiveness but also played a crucial role in product development, resulting in substantial business growth and improved ROI.

West Des Moines, Iowa, Us

As a Senior Data & Analytics Solutions Architect at American Equity Life, I leveraged data and analytics to drive significant growth and operational efficiency. Spearheaded the development of robust data management solutions within the Azure cloud ecosystem, enhancing the organization’s ability to harness and monetize data assets. By designing and implementing comprehensive analytics frameworks, enabled the transformation of raw data into actionable insights that informed strategic business decisions and optimized customer engagement. Collaborated closely with cross-functional teams to create data-driven models that not only supported revenue generation but also strengthened customer service capabilities. This data-centric approach was instrumental in establishing a resilient infrastructure that supported long-term growth and positioned American Equity Life as a leader in the competitive insurance market.

Cincinnati, Oh, Us

As a Principal Data Engineer at Paycor, I played a pivotal role in developing innovative data products that transformed the organization’s data landscape. Led the rapid deployment of a cloud-based data platform on Azure with Snowflake, achieving a fully functional system within one month while reducing storage costs by 40%. This initiative not only accelerated time to market by 30-60% but also established a foundation for scalable, high-quality data products that empowered business users with actionable insights. By collaborating with cross-functional teams, created sophisticated data pipelines that enhanced data integration and visualization, ultimately driving significant improvements in operational efficiency and decision-making. This strategic focus on data product development was instrumental in delivering measurable value to the organization, enabling Paycor to respond swiftly to market demands and enhance customer satisfaction.

San Diego, California, Us

Lead global analytics teams to architect, build and operate a secure, scaled CRM platform to manage data from P&G consumer programs around the world. Corroborate with P&G leadership to deliver consumer analytics via SaaS, PAAS, and Teradata to measure and improve business outcomes for customers through marketing campaigns. Apply visual analytics to aid in assembling data sets from diverse sources, testing hypotheses, discovering actionable insights, predicting outcomes, and disseminating findings through online dashboards and presentation materials. Translate business requirements into technical solutions focusing on architecture, data lineage, data quality, and data governance. Govern multi-vendor teams on strategy tests and campaign design; define target selection criteria and statistical sample size for campaign tracking, performance evaluation and diagnostics

Westminster, Co, Us

Improved CRM analytics and business visibility through Salesforce and external sources. Oversaw enterprise-wide data, information strategies, governance, control, policy development, data quality and data life cycle management. Defined and led CRM and BI strategies by formulating a roadmap for the BI and analytics platform and driving features and functions required to deliver insight into evolving business needs. Propelled the solution design and implementation of CRM analytics to effectively analyze the value of customers, effectiveness of campaigns and offers and the effectiveness of promotions via different customer-facing channels.

Cincinnati, Ohio, Us

Governed a global delivery team while meeting the needs of the client. Formulated price/volume/mix analysis models in SAP Business Analytics measuring the impact of price, cost, customer mix, product mix, channel mix and other shifts, and drivers for gross margin variances to drive faster and make better decisions. Standardized reporting and enabled self-service using Tableau and Microsoft BI (Power Pivot, SSAS & Power BI) for management reporting processes driving efficiency and increasing time spent on value-added analysis. Boosted productivity, reduced management reports, and minimized time spent on gathering data. Realized productivity goals in improved speed to deliver reports and automation of activities

Paris, France, Fr

Partnered with customers to gain an understanding of the root cause of their BI concerns. Drove pre-sales processes to build client relationships, identify opportunities and deliver effective solutions.Helped organizations improve BI capabilities, reduce costs, deliver BI projects reliably, and support BI efficiently.Engaged the client to understand their requirements, develop the product roadmap, and identify integration points with BI product portfolio and infrastructure products.

Cincinnati, Oh, Us

Created self-service and interactive dashboards in Spotfire delivering a 360-degree view of engine diagnostic and service data generated by sensors. Identified opportunities to improve performance and minimize operating costs via quick access to engine and fleet health reports. Built compelling stories enabling users to share the story within the organization by combining interactive reports with descriptive text. Partnered with key data architects ensuring data within the warehouses is optimized for defined organizational goals. Developed predictive analytics within Python and R.

Pittsburgh, Pennsylvania, Us

Defined, implemented and supported enterprise BI standards and architectures. Oversaw an offshore and onsite BI team responsible for designing flexible, reliable, and scalable BI solutions supporting the bank. Assessed designs and approved technical changes impacting global solutions.Drove initiatives defining enterprise data architecture and engineering designs delivering shared, consistent, integrated and trusted data.Orchestrated BI solutions involving complex databases, ETL pumps, scorecards, dashboards and reports.Formulated an IT business intelligence strategy aligning with the capability roadmap ensuring performance capabilities of the corporate IT infrastructure is strong enough to support project deployments.

As a Data Architect, I was responsible for creating an enterprise data warehouse that would encompass thepolicy and claims information from each of the commercial policy systems.I was also responsible for designing Essbase Cubes that were utilized by the Business for analytical reporting and Ad-Hoc Analysis.I helped the Business Partners to spend more time doing Data Analytics than concentrating on operational data.Helped the Business use Essbase based Analytical Reports and Dashboards the Business realized productivity gains like improved reporting efficiency due to reduced complexity and automating Manual ActivitiesProject TechnologiesHyperion Essbase 7X/9.1, DB2 UDB8.x, Hyperion Planning 4.3/9.1, Hyperion Integration Services (EIS), Hyperion Reports, Hyperion Analyzer, IBM Data Stage, Erwin Data Modeler, SQL Analysis Services

Created and managed SQL Server 2000 Analysis Services application (Cubes).Key Achievements: Developed multi-dimensional cubes (MOLAP) using Microsoft Analysis Services along with building reporting solutions using XLCubed and MDX query language. Implemented automated ETL routines using SQL Server 2000 DTS Packages Database Administration activities including Performance Tuning (Database and Applications), Backup, Recovery, Capacity Planning (Sizing), Failovers/Clustering, Replication and Trouble shooting at database and OS level. Tools Used: SQL Server 2000, MS Analysis Services, Erwin, XLCubed

Project involved responsibility for database administration and problem resolutions in Large Scale Production environment supporting SQL-SERVER 6.5/7.0, SQL-SERVER 2000 on a ClusteredWindows-NT/2000 server platform Key Achievements:Maintained Development, Testing, Production and Staging SQL Server 7.0 and 2000 Databases across Win NT (4.0) and Windows 2000 Servers.Directing development and project teams to ensure timely completion of projects.Tools Used: SQL Server 7.0/ 2000, Erwin

Us

The Project was to design and develop supermarket Point-Of-Sale software RETAIL; an enterprise wide Client/Server/Internet solution from store to Headquarters and was designed to enable food retailers in the supermarket, convenience store and other Retail market sectors to respond to competitive market requirements and changing consumer

Worked in ERP Ramco Marshalls