Worked on C5i Discovery that brings the power of generative AI technologies and advanced AI & analytics models into a platform that delivers actionable insights, to make faster and accurate data backed decisions for businesses thus driving substantial and direct impact on business KPIs. Augmented analytics capabilities of Discovery help businesses at various stages of decision making with descriptive analytics, diagnostic analytics (anomaly detection & causal), predictive analytics (early warning signals and forecasting) and prescriptive analytics (impact assessment and recommendations). The platform automatically identifies key trends, patterns, and anomalies in business data, providing users with concise and relevant insights. Discovery enables real-time monitoring and analysis, ensuring that businesses can respond swiftly to changing market conditions and internal performance metrics.

As a Product Management leader for Algonomy customer data platform (CDP), I help brands seamlessly unify their siloed customer data from different sources and deliver real-time insight into activation. Continue to excel and thrive at the intersection of data, product, engineering, and marketing. Responsible for the CDP (Customer Data Platform) ,Customer 360 overall product and vision including Product strategy, vision, and direction for the Customer Data Platform and Applications Product development roadmap, planning, scoping, and prioritization of CDP and analytics projects  Maintaining a product backlog with detailed requirements, determine features and their priority, write product specs, refine feedback, Product planning according to business value and return on investment  Product launch and Engaging with our partner and customer communities to drive customer enthusiasm and product adoption for Customer 360 and CA Maintaining the right channel between stakeholders, suppliers, and development team to envision, plan and execute along with assigned architecture and consulting resources build quickly while maintaining a high standard for quality

Worked on Quotient rebates (Platform) and Consumer Analytics (BI Data Product) as Product ManagerResponsibilities ➢ End to End ownership of product throughout its life cycle, Owning the product vision , strategy and roadmap for platform and BI solutions we build , Work with the engineering team to translate items in our product backlog into releases packed with customer values , Establish, enhance or distinguish product placement within the competitive arena➢ Merchandising – Increase discover-ability of all offers and new launches across all properties and platforms, following seamless customer communications ➢ Closely work with data scientists and Analytics/Reporting team to create valuable and usable insights ➢ Evangelize the product, in client meetings, Roadshows and press releases ➢ Owned the problem space of identifying and defining requirements in terms of Metrics and attribute working closely with business stakeholders to create valuable and usable insights ➢ Identified the different data sources and analyzed data for feasibility ➢ Cross-functional role, working with Product, Engineering, Sales , Marketing, Operations etc – align the product vision across all teams, unlock roadblocks to deliver the product. ▪ Building and leading a complete team from scratch to deliver end to end functionality

Worked on setting up Data Quality vertical and Monitoring strategy in QuotientResponsibilities ➢ Partner with the business to promote data quality tools, controls, and overall quality awareness across the data supply chain➢ Define overall data quality KPIs, measurements, and reporting standards including escalation of systemic data quality issues with stakeholders ➢ Collaborate with stakeholders to plan and remediate data quality gaps ➢ Apply research methodologies and investigative techniques to design and conduct analysis with the purpose of improving data fidelity and reliability ➢ Develop program roadmap to execute on strategic application of baseline data quality performance and deliver incremental improvements. Accountable for the design, and implementation and of data quality dashboards to help track progress vs. a baseline level of data quality ➢ Setting up a Data Quality team for Quotient Data warehouse and in house monitoring strategy

Worked on Guest and Sales Data Re-Architecture and MigrationResponsibilities➢ Ensuring data quality of on-going data feeds through the development and ongoing execution, review and interpretations of monitors to track key data variables and data flows. ➢ Analyzing the requirements, Identifying Test Scenarios, Designing Test Cases, Running execution of the scripts. Investigating and facilitating data integrity issues in Agile environment, suggesting effective Review methodologies, Estimation methods and upfront Test Scenarios/Results sharing ➢ Ensuring data definitions are maintained and accessible to users. Serving as a Data Expert on underlying business rules and data sources for end users. Identified existing production issues which are not adhering to Data Quality Dimensions ➢ Additional responsibilities as scrum master undertaking all agile ceremonies and training Data analyst as subject matter expert

Worked on Sales and Inventory Relief ( Defectives ,clearance, markdowns and returned) Data Re-Architecture, Responsibilities➢ Partnering with the Reporting and Analytics teams to understand the usage and criticality of data to build the Business context knowledge, Articulated the findings with Business impact Quantification which resulted in revisiting the existing ELT design ➢ Planned and designed the Monitoring Strategy and Architecture, used SAS for monitoring and reporting on the data health for the unsalable area, Create Tableau report and publish on the Defective and Guest return data➢ Ensuring data quality of on-going data feeds through the development and ongoing execution, review and interpretations of monitors to track key data variables and data flows

➢ Experience in working with Software Development team in resolving Defects and requirements, presenting the Defect Status reports and observed design inconsistencies. Preparing documentation for some of the recurring defects and resolutions and business comments for those defects and Business Analysts to define testing requirements to satisfy the business objectives. ➢ Responsible for preparing Test Strategy, developing Test Plan, Detailed Test Cases and scenarios, writing Test Scripts by decomposing Business Requirements to support quality deliverable and reporting status ensuring accurate coverage of requirements and business processes. ➢ Hiring and Coaching talented Product QA resources for different product offerings