Growth that proves itself.

As a Regional Operations intern, I built an end-to-end funnel analysis spanning Awareness → Consideration → Purchase → Retention, synthesizing paid-media, web-analytics, lead, and CRM data across thousands of monthly leads and 5 channels to give regional marketing leadership a single view of where the funnel leaked.

I diagnosed a double-digit percentage decline in lead-to-sale conversion and isolated Brand Website as the highest-converting channel, converting at roughly 1.6× the rate of dealer sites, surfacing it as the highest-ROI reallocation target. Then I reframed a suspected “traffic problem” as a purchase-intent problem: visits rose while lead submissions fell, with a sharp year-over-year paid-traffic decline tracing to the spring tariff onset.

Specific figures are generalized to respect Audi’s internal data; methodology and full detail available in conversation.

Analyst, Procurement · Process Innovation

• Built a multi-agent AI tool that cut manual validation and processing time 95%, automating pain points across the team's vendor-management workflow while staying inside Samsung's internal policies.
• Built the team's first KPI-tracking dashboard and caught an unmeasured compliance-review gap, which drove a 40% improvement in vendor onboarding cycle time in two months.
• Managed 32,000+ vendor accounts in SAP across 500+ annual onboarding requests, hitting 100% of Management-by-Objectives in 1H 2026.

Intern · Regional Operations

• Built an end-to-end funnel analysis (Awareness → Purchase → Retention) across thousands of monthly leads and 5 channels, giving regional leadership one view of where the funnel leaked.
• Diagnosed a double-digit drop in lead-to-sale conversion and isolated Brand Website as the highest-converting channel (roughly 1.6× dealer sites), reframing a suspected traffic problem as a purchase-intent one tied to the spring tariff onset.
• Flagged retention risk as the conquest/defection ratio fell below parity, pinpointing the least-loyal model in the top-6 lineup, in Excel, SQL, and Tableau.

Marketing-trained.
Analytics-driven.

I earned my MS in Marketing with a specialization in Marketing Analytics at American University's Kogod School of Business, a 4.0 GPA on top of a communications degree. I'm as comfortable writing the story as I am building the model behind it, and predictive analytics was my strongest suit in the program, from logistic regression and pricing models to Bass diffusion forecasting.

Since then I've worked as a data-and-process analyst at Samsung and in regional operations at Audi, where I saw how much growth hides inside a well-instrumented funnel. Now I'm focused on the work I trained for: lifecycle and growth analytics, experimentation, and turning messy data into decisions that perform, whether that's a campaign, a retention play, or a new-business pipeline.

Growth & Experimentation

MarTech & Platforms

Data & Technical