Morgan Le
Applied AI & Data Science · New York
I'm completing a Master's in Data Science at Columbia University, where my work focuses on data infrastructure, systems design, and applied machine learning.
My background spans consulting, consumer technology, and e-commerce, with experience across teams at Boston Consulting Group, Peloton, Samsung, and Shopee.
I'm interested in deploying AI systems that change how people work — turning emerging capabilities into reliable, useful tools for real-world workflows.
Feel free to reach out: morgan.hn.le [at] gmail.com · linkedin · x · github
A WebMCP-native tool that lets AI agents navigate and use web applications directly.
An AI-powered air-quality investigation platform that ranks likely pollution sources in Hanoi and recommends evidence-backed actions.
A native macOS textbook reader that uses AI to highlight definitions, equations, and key concepts in PDFs while keeping document processing local.
Built automated pipelines to synchronize sales and P&L data across distributed databases, and transitioned manual reporting into a self-service analytics tool that drove 25% YoY growth.
Developed data models and market analysis to support product launch strategy and client pricing decisions for private-sector engagements.
Led spend analysis for software procurement that uncovered $800K in annual savings and $2M in additional revenue; built BI dashboards that identified $10M in potential savings.
Automated purchase order workflows and optimized Excel-based reporting tools across 100+ material supply chains.