Working on Adobe CJA and AWS Cloud Services

Working with the Global Data Center (GDC) Team for implementing Adobe Real-Time Customer Data Platform (RTCDP) to optimize data integration across global marketing platforms for Samsung’s smartphone campaigns. • Managed comprehensive marketing campaigns for Galaxy S25 series (S25, S25+, S25 Ultra) across international regions. Integrated Adobe Analytics with Customer Journey Analytics to track user behavior across web, app, and retail, identifying key drop-off points and optimizing the user funnel, leading to a 15% increase in conversion rates. • Executed complex data migration projects for flagship devices including Galaxy S25, Galaxy Watch 7, and other product lines, leveraging Alteryx and Snowflake to ensure seamless data integration and comprehensive analytics capabilities. • Utilized AEP CDP to create focused and eccentric customer journey views for different flagship campaigns. • Extensively used Customer Journey Analytics to draw unified customer journey insights and leverage the marketing data via Month-on-Month and Year-On-Year comparisons reports. • Leveraged identity stitching and segment overlap analysis in CJA to uncover high-value user cohorts, improving re-targeting efficiency and reducing churn by 12% in post-launch engagement phase.

Adobe Analytics Developer, Nissan: ∗ Spearheaded advanced analytics implementation using Adobe Analytics Suite (Analysis Workspace, Adobe Target) for a Fortune 500 automotive company, driving 45% boost in marketing efficiency through data-driven decision making and predictive modeling ∗ Developed and implemented an end-to-end Adobe Analytics tracking solution using Launch and DTM (Dynamic Tag Manager), proficient in configuring eVars, props, and events for in-depth user journey analysis. ∗ Built and maintained automated dashboards to monitor funnel metrics (Bounce Rate, Exit Rate, Page Depth) and marketing KPIs (CTR, CPC, ROAS). Contributed to a 45% improvement in campaign optimization ∗ Engineered Adobe Analytics API integrations using Python for automated data extraction and processing, enabling real-time monitoring of User Engagement Score, Time to Convert, and Path Analysis metrics ∗ Implemented Adobe Target A/B testing framework with custom success metrics and segment-specific experiences, achieving 25% uplift in key conversion events through personalized content delivery • Data Platforms Architect, Unilever UK: ∗ Spearheaded enterprise-wide AI Beauty Assessment tool deployment across 13 regions, utilizing Adobe Experience Platform Launch and Analytics 2.0 APIs to comprehensively track and optimize user journeys, while developing advanced performance analysis workflows that reduced reporting time by 85%. ∗ Developed custom machine learning models using Python (Scikit-learn, TensorFlow) to drive customer segmentation and predictive analytics, resulting in a 52% increase in tool adoption and a 32% growth in product upsell through data-driven insights and strategic technological innovation. • Data Engineer, Civitas and Avangrid: ∗ Engineered enterprise-level cloud migration strategy to Microsoft Azure, implementing a robust data lake architecture utilizing Azure Data Lake Storage Gen2 and Azure Blob Storage, with comprehensive automated ETL processes that enhanced data management and scalability. ∗ Developed sophisticated PowerBI dashboards leveraging advanced DAX and M Query techniques, creating custom visualizations that enabled predictive maintenance analytics, resulting in a substantial 40% reduction in emission waste and delivering high-performance data insights for strategic decision-making