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Data-Driven Real Estate for the Modern World

About

With a decade of experience in data science, market research, and AI strategy—alongside a background in civil engineering and advanced research at Purdue University—Peyman brings a uniquely analytical perspective to real estate. His work spans industries like technology, education, and life sciences, where he's helped organizations make complex decisions with clarity and confidence. He applies that same mindset to real estate: blending precision, insight, and personalized service to support buyers, sellers, and investors in navigating today’s market with confidence and long-term value in mind.

About

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Summary

Education

Ph.D., Civil Engineering; Purdue University

MS, Civil Engineering; University of Tehran

BS, Civil Engineering; IUST

Credentials

National Association of REALTORS®

California Association of REALTORS®

Silicon Valley Association of REALTORS®

Awards

UT 2025 distinguished luminary

3MT People Choice Award

Bilsland Fellowship

Magoon Excellence Award

Ismail Interdisciplinary Award

ESE Lynn Fellowship

Experience

Market Researcher, Merck Group

Business Consultant, Nuelm

 

Lead HF Engineer, EPICS

Sr Data Scientist, Ekado

Data Scientist, Bi-Language

Discover Neighborhoods

Discover the neighborhoods Peyman serves across the Bay Area—each offering unique lifestyles, market trends, and real estate opportunities tailored to your next move.

Atherton

San Mateo

Menlo Park

San Mateo

Palo Alto

Santa Clara

Woodside

San Mateo

Cupertino

Santa Clara

Los Altos

Santa Clara

Redwood City

San Mateo

Sunnyvale

Santa Clara

Los Gatos

Santa Clara

Portola Valley

San Mateo

Burlingame

San Mateo

San Carlos

San Mateo

Image by Sean Pollock

“You can have data without information, but you cannot have information without data.”

Daniel Keys Moran

Market Watch by PYB

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