Led end-to-end ETL pipeline design and optimization, integrating multi-channel marketing data from Google Ads, Facebook, and StackAdapt into BigQuery, reducing reporting latency by 30%. Served as primary client-facing consultant for enterprise accounts, translating business needs into scalable data models and dashboards that improved campaign ROI visibility. Developed advanced Looker Studio, Tableau, and Power BI dashboards tailored to CMO-level stakeholders, integrating performance metrics and ROI attribution. 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.

Loyalty Analyst, Marketing at Cineplex

January 1, 2025 - October 8, 2025

Utilized SQL and Python to analyze spend, frequency, and recency, resulting in an effective segmentation model that enhanced personalized marketing efforts and deepened customer insight. Designed a dynamic Tableau dashboard across customer segments and demographics to enable timely, data-driven decision-making. Leveraged Adobe Customer Journey Analytics to assess purchasing behavior and trends, optimizing promotional activities and enhancing marketing strategies, contributing to a 3.7% increase in sales. Designed targeted offer campaigns to increase footfall during sales downturns, resulting in a 6% revenue boost. Managed multiple ad-hoc projects and monthly progress reports to extract insights on current trends for strategic planning.

Decision Scientist at Mu Sigma Inc.

July 1, 2021 - October 8, 2025

Created a robust framework that reduced stockouts by 19% and identified liquidation opportunities, leading to an 11% increase in revenue. Analyzed the impact of UI/UX changes through A/B testing, resulting in a 5% increase in website conversion rates. Utilized Google Analytics and tracking pixels to monitor user behavior and website performance, enabling data-driven insights that informed marketing strategies and optimized campaign effectiveness. Analyzed and tracked the purchase path of female customers to optimize targeting, increasing sales of women’s apparel by 11%. Established a framework to analyze return abuse, reducing fraudulent transactions by 5% and minimizing financial losses.