Yes. In both my economics coursework at NYU and my tutoring business, I’ve worked extensively with data to understand consumer behavior, pricing outcomes, and performance trends. I regularly analyze metrics such as conversion rates, customer retention patterns, campaign performance, and revenue projections. I’m comfortable identifying what’s driving sales, spotting inefficiencies, and using insights to refine marketing and product strategies. Data analysis is a core part of how I make decisions, and I’m confident applying that skill to retail and trade marketing environments.

I regularly collaborate with sales-oriented teams through my work founding Sam’s Study Steering, where I align tutors, marketing members, and operations to meet revenue and outreach goals. In campus ambassador roles, I coordinate closely with brand partners to align messaging, event execution, and product distribution. These experiences have taught me how to communicate clearly, keep stakeholders aligned, and translate marketing insights into sales-supportive actions—from promotional content to customer engagement strategies. I enjoy bridging marketing creativity with sales goals to achieve measurable results.

With limited resources, I’d focus on high-leverage, low-cost visibility drivers. First, I’d strengthen in-store execution by ensuring product placement, shelf organization, and eye-level visibility—simple adjustments that meaningfully impact conversion. Second, I’d create scrappy, high-performing UGC-style content for retail partners’ social channels, highlighting quick demos, before/afters, and trends to drive organic discovery. Third, I’d work cross-functionally with sales and retail managers to identify quick-win promotional opportunities, like endcap refreshes, QR codes, or bundling strategies. Finally, I’d monitor performance weekly and double down on the initiatives showing the greatest immediate lift.