• Partnered with advertisers managing over $12M in ad spend on Pinterest to optimize campaigns, resulting in a 20% increase in ROI and improved audience engagement across key verticals such as Retail, Tech, Finance, CPG, Travel, and Entertainment.• Provided actionable insights tailored to specific audiences, topics, and moments of interest to enhance advertising effectiveness using first party (1P) and third-party (3P) data.• Managed and analyzed large-scale datasets generated by Pinterest’s half-billion monthly users, leveraging optimized SQL queries to deliver insights on search seasonality, year-over-year trends, over-indexed searches, demographic segmentation, and other critical performance metrics.• Conducted customer journey analyses to uncover key behaviors and touchpoints, enabling the creation of audience segments that improved ad relevance and personalization strategies.• Led A/B testing initiatives to optimize ad creatives, achieving a 12% increase in CTR and a 10% lift in conversion rates for top-performing campaigns.• Utilized advanced Excel skills to clean and validate data, ensuring accuracy and consistency, and created dashboards and charts for visualization. Developed clear and easy-to-understand presentations using Google Slides, tailored for non-technical audiences, to effectively communicate key insights and recommendations to internal and external stakeholders.

• Analyzed customer and transactional data to support banking marketing strategies, identifying trends in customer acquisition, retention, and cross-sell opportunities for financial products, leading to a 15% increase in campaign effectiveness.• Leveraged SQL to extract and manipulate large datasets, enabling accurate campaign performance tracking and optimizing marketing initiatives, reducing data retrieval time by 20%.• Designed and implemented data-driven marketing strategies, including segmentation and personalized offers, resulting in a 10% improvement in customer engagement and a 12% increase in conversion rates.• Developed dynamic Tableau dashboards to visualize key marketing performance indicators (KPIs), such as ROI, customer lifetime value (CLTV), churn rates, and email campaign response rates, providing stakeholders with actionable insights.• Conducted regression analysis and hypothesis testing to evaluate the impact of marketing strategies, providing actionable insights to improve campaign targeting and resource allocation.• Automated Excel reports with advanced features (e.g., PivotTables, Power Query, VLOOKUPs) to monitor campaign performance across channels, reducing manual reporting time by 30% and ensuring timely delivery of results.

• Conducted in-depth analysis of large internal customer datasets and external vendor data to develop and refine personalized marketing strategies, resulting in a 15% increase in customer engagement and a 10% improvement in retention rates.• Leveraged SQL to extract, manipulate, and analyze data, delivering actionable insights to support audience segmentation and targeting for CRM and Digital Marketing teams.• Analyzed retail performance metrics, including sales trends, basket size, and purchase frequency, to identify opportunities for cross-sell and upsell strategies.• Created Excel-based reports with advanced features such as PivotTables, VLOOKUPs, and Power Query to track key performance indicators (KPIs), including conversion rates, ROI, and churn rates.• Supported management teams by designing dynamic dashboards and visualizations in Tableau, improving real-time campaign performance monitoring and enabling data-driven decision-making across departments.• Applied Python libraries (Pandas, NumPy, and Matplotlib) for exploratory data analysis (EDA) and generated visual insights from retail datasets, identifying trends that informed strategic planning and enhanced operational efficiency.