Summary
Xiaowei Fang is a software engineer with nine years of experience specializing in optimization, simulation, and statistical modeling using Python and R. Currently at AT&T Labs, she combines strong data engineering skills—SQL, API-driven data collection, and growing Hadoop expertise—with practical machine learning applied via scikit-learn. She produces clear, actionable insights through visualization tools like Power BI, Tableau, Seaborn, and Matplotlib, and is comfortable moving models from exploration to production-ready data pipelines. A Georgia Tech computer science master's graduate, she brings a research-informed approach to problem solving and a knack for turning complex simulations into interpretable results. Notably, her background blends classical statistical modeling with hands-on engineering, enabling robust, scalable analytics in enterprise environments.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology