About

Jianjian Xie is a Full-stack Machine Learning Engineer with significant experience in Data Science. Currently, he works as a Product Developer for Machine Learning at Indeed, where he is responsible for building a Budget Recommendation Service that supports the core business of the company. Jianjian has a strong background in designing and developing end-to-end architecture and machine learning algorithms using Python, Spark, and Hive. He has also built and implemented algorithms with large-scale data to plan, create, coordinate, and deploy business information solutions. Prior to Indeed, he worked as a Data Scientist and Data Engineer at Scry Analytics, where he developed software modules to integrate algorithms and designed and developed end-to-end architecture and machine learning algorithms. Jianjian's expertise in Data Science has also been recognized by Kaggle, where he won a Data Science Competition Medal and achieved a top 3% ranking. Jianjian holds a Master of Science (M.S.) degree in Computer Science from Columbia University, where he specialized in Machine Learning. Jianjian has a diverse technical skill set that includes ML, Software Engineering, Data Science, Data Engineering, Research Science, Spark, Python, and Apache Hive. With 4.86 years of relevant experience, Jianjian is a highly skilled and knowledgeable professional who can contribute significantly to any organization.