About

Jianye Xu is a highly skilled Machine Learning Engineer with over 8 years of hands-on experience in the field. He is currently working at Square, where he has been instrumental in designing and implementing the data architecture, building machine learning pipelines, and deploying them into production. Jianye is an excellent programmer with expertise in Python, Spark, Linux, SQL, and Hive/MySQL. Jianye's expertise extends to a wide range of machine learning techniques, including Random Forest/GBM/XGBoost, Regression, Natural Language Processing (TF-IDF, Word2vec, GloVe), and Deep Learning (CNN, RNN). He is a full-stack machine learning engineer with a keen eye for identifying automation opportunities. Jianye is a genuine data lover, a team player, and a product owner. Before joining Square, Jianye worked as a Manager and Lead Data Scientist at cardpool.com. He also served as a Senior Data Scientist in Decision Science at Western Union. Jianye holds a Master of Science (M.S.) degree in Mathematics and Statistics from the University of Toledo, where he also completed his Bachelor's degree in Pharmaceutics. He also holds a Master of Science (M.S.) degree in Environmental Science from the University of Chinese Academy of Sciences. Jianye's technical skills include ML, Data Scientist, Research Scientist, SQL, XGBoost, Random Forest, CNN, RNN, Word2Vec, Deep Learning, NLP, Spark, Python, MySQL, and Apache Hive. His relevant experience in the field is 10.28 years. Jianye is a highly motivated and dedicated professional who is always looking for new challenges and opportunities to learn and grow.