Summary
Joanna Hou is a data scientist in San Francisco with nine years of professional experience combining advanced analytics and a decade-long foundation in mechanical engineering and project management. She holds an MS in Data Analytics from Georgia Tech and deploys a broad toolbox—Python, R, SQL, Spark, AWS/Azure and time-series, regression and ML techniques—to build risk, response and forecasting models in finance and applied data projects. At Atlanticus she advanced from credit risk analyst to data scientist, developing XGBoost, neural nets and logistic models while owning feature engineering and model validation pipelines. Her background in large-scale equipment projects and international sales gives her a pragmatic, systems-oriented view of data problems and an aptitude for translating messy operational data into actionable insights. A fast learner who thrived in Georgia Tech’s rigorous analytics program, she blends statistical rigor with hands-on production experience and a knack for visual storytelling.
9 years of coding experience
11 years of employment as a software developer
Master of Science - MS Data Analytics , Master of Science - MS Data Analytics at Georgia Institute of Technology
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at Northeastern University (CN)
Chinese, English