Led end-to-end ETL pipeline design and optimization, integrating multi-channel marketing data from platforms such as Google Ads, Facebook, and StackAdapt into Big Query, ensuring data accuracy and reducing reporting latency by 30%.

Acted as primary client-facing consultant for enterprise accounts, translating business needs into scalable data models and actionable dashboards that improved campaign ROI visibility.

Developed advanced Looker Studio, Tableau, and Power BI dashboards tailored to CMO-level stakeholders, integrating performance metrics, CPA vs. ACV comparisons, and ROI attribution, driving more informed budget allocation.

Spearheaded AI-driven analytics initiatives, leveraging anomaly detection and predictive modeling to forecast campaign performance and proactively identify inefficiencies, saving clients up to 12% in wasted ad spend.

Collaborated cross-functionally with engineering and product teams to resolve complex data integration issues, ensuring smooth connector deployments and enhancing client trust in platform reliability.

Forecasted financial impacts of loyalty program initiatives, driving revenue growth by 8% through predictive analytics.

Conducted quantitative and qualitative loyalty impact analysis, informing strategic decision-making and increasing customer retention by 10%.

Analyzed customer behavior and trends using Adobe’s Customer Journey Analytics to optimize promotional activities and enhance marketing strategies resulting in a 7% increase in sales.

Strategically priced rewards to meet organizational goals, aligning pricing strategies with business objectives and improving program profitability by 12%

Created a customer segmentation model based on variables such as spend, frequency, and recency, and leveraging this model for personalized targeting and enhanced customer understanding

Created an interactive dashboard using Tableau to visually represent data, providing different views tailored for various stakeholders

Developed a demand forecasting framework, reducing stock outs by 19% and identifying liquidation opportunities, resulting in an 11% increase in revenue.

Conducted A/B testing to analyze the impact of UI/UX changes, increasing website conversion rates by 5%.

Assisted in campaign design and measurement, contributing to a 14% increase in customer engagement and acquisition.

Provided insights for merchandising decisions, optimizing customer targeting and increasing sales of women's apparel by 18%.

Implemented a return abuser analysis framework, reducing fraudulent transactions by 8% and minimizing financial losses.