About

Caixia Huang is a highly skilled and experienced software engineer with a strong background in statistical data analysis, data mining, data visualization, software development, and .NET. She is currently working as a Software Engineer in the Experimentation Platform at DoorDash, where she is responsible for developing and implementing new features and functionalities for the platform. With a Master of Science in Computer Science and Data Science from the University of Illinois, as well as a Master of Engineering in Industrial Management from Cornell University, Caixia has a deep understanding of the latest technologies and trends in the industry. She has also completed a Bachelor of Science in Hydraulics and Hydropower Engineering from Tsinghua University in China. Caixia has extensive experience working with a range of programming languages and technologies, including R, Python, SQL, Java, C#, .NET, Power BI, AWS (Beanstalk, Lambda, SQS), Hypothesis testing, and Machine Learning. She has previously worked as a Data Scientist at DoorDash and as a Software Engineer at Sonic Foundry Inc. In addition to her technical skills, Caixia is a highly analytical and detail-oriented individual with excellent communication and problem-solving skills. She is passionate about using data to drive business decisions and is committed to staying up-to-date with the latest developments in the field. Overall, with almost 5 years of relevant experience in the industry, Caixia Huang is a valuable asset to any team looking for a skilled and knowledgeable software engineer with a strong background in data analysis and machine learning.