Tejas Padavalamane

Analyzed campaign performance using Google Analytics 4 and Google Data Studio, creating weekly dashboards that improved ROI visibility and reduced reporting time by 30%. Spearheaded Tableau and Data Studio dashboards tracking campaign ROI and customer segments, driving a 40% increase in adoption of performance reporting across sales and marketing. Executed controlled A/B and multivariate experiments on email and paid media, surfacing winning variants that improved campaign conversion rates by 12% and guided creative direction. Automated campaign QA processes in Salesforce and Marketo, eliminating routing errors and ensuring 100% compliance before campaign launches. Optimized CRM data integrity by consolidating HubSpot and Salesforce records, improving lead scoring accuracy by 15% and enabling more reliable pipeline forecasting. Mapped and analyzed customer journeys across digital channels, uncovering bottlenecks that reduced cart abandonment by 10% and informing workflow automation upd

Analyzed marketing and product usage data using SQL and Python to evaluate campaign performance, user behavior, and conversion funnels, enabling data-driven growth strategies. Built and maintained dynamic dashboards (Tableau, Power BI) to track key metrics such as acquisition, activation, retention, and revenue (AARRR), improving visibility into growth performance for stakeholders. Designed and executed A/B and multivariate experiments on digital campaigns and product features, identifying winning variations that improved conversion rates and user engagement. Performed funnel and customer journey analysis to identify drop-offs and bottlenecks, driving optimizations that improved user activation and retention metrics. Developed customer segmentation and cohort analysis models to identify high-value users, enabling targeted marketing strategies and personalized user experiences. Integrated and transformed data from multiple sources (CRM, web analytics, product databases) using SQL and db

Built and maintained interactive Power BI dashboards that combined sales and marketing KPIs, reducing manual reporting time by 35% and giving leadership consistent visibility into campaign ROI for better quarterly planning. Developed and implemented lead scoring and routing models in Pardot, which improved the accuracy of prospect qualification, accelerated sales response times, and increased qualified lead conversion rates by 18%. Executed structured A/B tests in Eloqua across email and paid media, analyzing performance data to identify winning variants that improved click-through rates by 11% and influenced future campaign designs. Optimized funnel workflows and nurturing programs across marketing channels, uncovering bottlenecks that reduced drop-offs and drove a 14% improvement in lead-to-opportunity conversion rates. Configured and integrated Adobe Analytics with Google Tag Manager to strengthen campaign attribution tracking, delivering more accurate ROI insights and informing pai