Summary
Chaojun Cao is an Analytics and Data Warehousing Engineer with eight years of experience building data pipelines, dashboards, and data quality frameworks for Google and other tech employers. With an M.S. in Statistics and Udacity nanodegrees in Data Science and Data Analysis, he blends rigorous statistical modeling with practical ETL, SQL, and Python engineering skills. He has authored thousands of SQL business rules, automated complex workflows, and created interactive dashboards that surface data-quality anomalies and operational metrics for global users. Comfortable with tools from Scikit-learn and Pandas to Tableau, Power BI, and Db2/MySQL, he applies machine learning models and visualizations to drive business decisions. Based in Pleasanton, CA and a U.S. green card holder, Chaojun pairs domain experience in shopping and supply-chain analytics with a constant drive to sharpen his programming and data science toolkit. An often-overlooked strength is his track record of turning ad hoc data issues into repeatable, automated processes that reduce manual intervention.
7 years of coding experience
3 years of employment as a software developer
Master's Degree, Statistics, GPA.:3.5/4.0, Master's Degree, Statistics, GPA.:3.5/4.0 at California State University - East Bay
Calculus and Statistics study, Calculus and Statistics, GPA.:4.0/4.0, Calculus and Statistics study, Calculus and Statistics, GPA.:4.0/4.0 at Peralta Community College District
English, Chinese