I combine qualitative research and AI-informed analytics to inform marketing decisions, retail recommendations, and audience-facing products.
Projects include a News Corp externship on AI and Gen Z news habits, a Beats by Dre externship on in-store shopper behavior, an AI-powered career sprint, and ongoing data visualization for the Center
News Corp · Dec 2025 · ✅ Verified by Extern
A News Corp externship exploring how AI personalization, recommendations, and conversational features shape Gen Z news consumption.
Beats By Dre · Mar 2026 · ✅ Verified by Extern
A Beats by Dre externship focused on in-store shopper behavior, interview research, and converting field observations into actionable retail recommendations.
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Extern · Mar 2026 · ✅ Verified by Extern
In just three weeks, the AI-Powered Career Sprint gives you the edge every ambitious student dreams of—turning externship experience into resume gold, building an AI-optimized CV and cover letters, sending outreach that actually gets replies, and walking into interviews with confidence. This isn’t theory, it’s a fast-track system where you’ll see real traction, real conversations, and a clear path to your dream job.
I combine qualitative research and AI-informed analytics to inform marketing decisions, retail recommendations, and audience-facing products.
I am Esther Pierre Isaac, a graduate student in English Literature at University of Massachusetts Boston focused on marketing. I work on research-driven projects that connect audience behavior, AI personalization, and retail insights.
Externships
News Corp Digital Product AI Strategy Externship
News Corp
Skills
✅ Verified by Extern
A News Corp externship exploring how AI personalization, recommendations, and conversational features shape Gen Z news consumption.
The externship examined AI-driven personalization across news outlets and streaming platforms, comparing recommendation algorithms and ad placement to audience fit and engagement. Work included designing and launching a nationwide Gen Z survey, tracking responses in an outreach tracker, and analyzing quantitative and qualitative results. Findings and recommendations were compiled into a slide
I produced a comparative analysis of AI personalization across news and streaming platforms, launched and tracked a Gen Z survey that gathered 20 responses, analyzed usage patterns in spreadsheets, and delivered a slide deck linking insights to concrete product ideas.
✅ Verified by Extern
A Beats by Dre externship focused on in-store shopper behavior, interview research, and converting field observations into actionable retail recommendations.
The externship gathered in-store observations and interview data across the electronics floor, then translated those raw notes into structured artifacts. Work included a three-stage headphone shopper funnel, a field-ready interview guide, timed store observations, a 5 Whys root-cause analysis of a lost sale, and a slide deck with insight-to-recommendation pairs.
I produced a complete set of retail-research artifacts: a three-stage shopper funnel, a field-ready interview guide, a timed observation tracker, a 5 Whys root-cause analysis with prioritized actions, and a slide deck with insight-to-recommendation pairs.
✅ Verified by Extern
In just three weeks, the AI-Powered Career Sprint gives you the edge every ambitious student dreams of—turning externship experience into resume gold, building an AI-optimized CV and cover letters, sending outreach that actually gets replies, and walking into interviews with confidence. This isn’t theory, it’s a fast-track system where you’ll see real traction, real conversations, and a clear path to your dream job.
The Extern Sprint produced an AI-backed career memory and tooling to prepare tailored applications and interview practice. The work inventoried achievements, documents, raw data, images, graphs, and insight notes to populate a retrieval-augmented career memory, and it outlined components needed to support tailored CVs and outreach.
I created a concrete inventory for a retrieval-augmented generation (RAG) career memory, listing achievements, documents, raw data, images, graphs, and insight notes to populate a searchable personal knowledge base.