Summary
Alexander Wu is a data scientist with 11 years of engineering experience who turns messy, real-world datasets into actionable insight across healthcare, defense, networking, and aviation. At Roche he applies RWD analyses to inform commercial and regulatory strategy and prototypes demo apps (Streamlit) that automate clinical guideline traversal, while earlier roles ranged from Navy trouble-ticket NLP to real-time anomaly detection with PySpark. He blends strong data-science tooling (pandas, scikit-learn, PyTorch, tidyverse) with full-stack and cloud chops (React/Flask, AWS, Docker, Spark), enabling end-to-end solutions from ETL to production dashboards. Known for pragmatic visualizations and reproducible demos, he often pairs exploratory analysis with interactive apps to accelerate stakeholder decisions. Based in Fremont, CA, he’s a quick learner who seeks impactful applications of data beyond models — for example, preventing FAA-level fines through operational web tools.
11 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Bachelor of Science (BS), Computer Science, 3.92, Bachelor of Science (BS), Computer Science, 3.92 at UC Santa Barbara
English, Chinese, Chinese, Spanish