About
Aleshka Pardo
I am a Peruvian student at New York University, double-majoring in Applied Psychology and Philosophy. My background shapes how I approach design and product work: with curiosity about human behavior, attention to reasoning, and a deep respect for the people on the other side of the screen.
My work sits at the intersection of research and visual craft. I was a UX research intern at BBVA, processed participant data at NYU's Hartley Lab, and explored consumer behavior with Beats by Dre - always returning to the same question: why do people choose what they choose?
I am also part of the first-ever cohort of Campus Ambassadors at Clay Startup, where I discover modern tools for GTM Engineering, Growth, and Product.
Connect with me on LinkedIn.
Skills & Tools
Education
Stanford University
Visiting Student · Innovation & AI
New York University
B.S. Applied Psychology & Philosophy
Markham College
High School Diploma · Lima, Peru
Experience
Clay Startup
Campus Ambassador - GTM Engineering, Growth & Product
BBVA
UX Research Intern - Sky generative AI assistant
NYU Hartley Lab
Research Assistant - participant data processing
Break the Bubble
Student Organizer - community programming at NYU
Beats by Dre
Consumer behavior research collaboration
What I bring
Product thinking for the agentic era
I care about products where humans and AI agents work together: understanding user needs, shaping strategy from data, and partnering closely with design and engineering to ship.
Building with AI agents
Designed Sky, a generative AI assistant for a financial institution, and built a Clay-powered supplier intelligence system that runs autonomous data lookups end-to-end.
Data-driven product decisions
Blend user research, market analysis, and product data to define problems, validate assumptions, and prioritize what to ship next.
Cross-functional delivery
Partner with engineers, designers, and researchers to move from insight to launched feature, on rapid release cycles.
Human + agent experiences
Focused on interfaces where people and AI collaborate: clear handoffs, trust, transparency, and context-aware assistance.