Summary
Clara Zang is a Principal Data Scientist in Alpharetta with nine years of experience applying machine learning, NLP, computer vision, reinforcement learning and generative AI to customer care, field operations, and diagnostics at AT&T. She leads development and production deployment of question-answering search and other generative-AI solutions, and previously drove Wi‑Fi diagnostics, forecasting, churn and fraud projects that combined statistical rigor with scalable big-data engineering. Holding a PhD in Mathematics and Statistics, she pairs deep quantitative research skills with hands-on implementation across Hadoop, Spark and modern ML pipelines. Known for enjoying exploratory data research, she blends curiosity-driven experimentation with pragmatic product impact, often turning large, messy datasets into actionable insights for operations and support.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) information and computing science, Bachelor of Science (B.S.) information and computing science at Beijing Institute of Technology
Doctor of Philosophy (Ph.D.) Mathematics and Statistics, Doctor of Philosophy (Ph.D.) Mathematics and Statistics at Georgia State University