About

Kenneth Huang is a highly resourceful and accomplished tech professional with a strong background in data science and machine learning in a variety of industries, including defense tech, marketing, research, supply-chain, and software development. Currently working as an Associate Machine Learning Engineer at CareRev, he has also worked as a Jr. Data Analyst at Facebook and a Data Analyst at Kioxia America, Inc. Kenneth has a Bachelor's degree in Physics from the University of California, Santa Barbara, and has gained extensive experience in the tech industry over the past 1.86 years. He is proficient in a range of technologies, including ML, data science, research science, software engineering, Python, and ETL. Kenneth has demonstrated his expertise in data analysis and automation by single-handedly developing a data collection and cleansing program in Python that automated the creation of large Excel files, saving 50 hours of manual work per quarter. He has also managed supply chain data for major companies such as IBM, Lenovo, Facebook, MSFT, and HPe, and created sales plans using advanced Microsoft Excel and Demantra to analyze and project quarterly supply demand gaps and revenue. Kenneth is an active contributor to the tech community and has a Github profile that showcases his portfolio of work. He is also passionate about data science and has a 2021 portfolio that demonstrates his proficiency in the field. Overall, Kenneth Huang is a highly skilled and accomplished tech professional with a strong background in data science and machine learning. He is a valuable asset to any organization looking to leverage data to drive business growth and innovation.