Summary
Michelle Ho is a data scientist-turned-data engineer based in Seattle with a decade of experience blending spatial analysis, ETL pipelines, and map-driven visualizations to inform product and client decisions. Currently at Tableau, she builds data pipelines and migrates complex geospatial datasets into usable analytics, having previously developed proofs-of-concept for spatial regressions, hotspot detection, and sales-territory delineation at CARTO. Her background spans applied urban science, public-sector digital forensics, and environmental modeling, giving her a rare mix of analytical rigor, domain knowledge, and operational experience. Comfortable both in client-facing roles and in code—she’s contributed Python tooling that ties CARTO APIs to pandas—she excels at turning messy location data into actionable insights and scalable workflows.
10 years of coding experience
2 years of employment as a software developer
Lexington High School
Master’s Degree, Applied Urban Science and Informatics, Master’s Degree, Applied Urban Science and Informatics at New York University
Bachelors of Arts, Economics, International and Area Studies, Bachelors of Arts, Economics, International and Area Studies at Washington University in St. Louis
English, Chinese