I AM JENNY ZHAO
I build thoughtful, scalable systems at the intersection of data, AI, and human-centered design.
About Me
Background
I’m a data analyst and engineer with a background in computer science, currently working in healthcare analytics. My work focuses on building systems that make complex data easier to understand, more reliable, and ultimately more useful for real-world decisions.
I’m particularly interested in the intersection of data, AI, and human experience — not just how systems work, but how they’re used. Whether I’m designing anomaly detection frameworks, building scalable data pipelines, or experimenting with AI-driven applications, I care about creating solutions that are both technically sound and practical.
Outside of work, I enjoy exploring creative projects — from interactive systems to hands-on building — and I’m always looking for ways to combine technical and creative thinking in what I make.
How I approach my work
- Build for real use, not just technical correctness
I focus on making systems that are actually useful and usable, not just technically impressive. - Make complexity understandable
Whether it’s data, systems, or AI, I care about making things easier to interpret and act on. - Design for scale from the start
I think about how systems will grow — not just how they work today. - Balance structure with creativity
I enjoy working at the intersection of technical systems and creative problem solving. - Keep improving through iteration
The best systems come from continuous refinement and feedback, not one-time solutions.
Selected Work
Here are some of the projects I've worked on recently including data engineering, analytics, and interactive systems.
Anomaly Detection System
Pharmaceutical Data Analytics Platform
Developed an account-level anomaly detection system for pharmaceutical data, identifying unusual patterns across multiple datasets to support data quality and business insights.
Automated Data Pipeline System
Scalable Data Engineering on Databricks
Designed and implemented a modular data pipeline system in Databricks, transforming manual data refresh processes into automated, scalable workflows with built-in monitoring and error handling.
AI Dementia Aid Assistant
Personalized Memory & Companion System
Built a personalized AI assistant to support dementia patients through memory recall, familiar conversation, and voice interactions modeled after loved ones.