About

Shichao (Richard) Ji is a highly skilled Data Scientist with over 6 years of relevant experience in the field. Currently working at Oracle, Shichao is responsible for developing and implementing data-driven solutions for various business projects. Shichao has a strong academic background, with a Master of Science in Business Analytics and Project Management from the University of Connecticut, an MBA from Virginia Tech, and a Bachelor's degree in Financial Engineering from Harbin University of Commerce. Shichao has a proven track record of designing and deploying data collection and analysis pipelines using MySQL, PostgreSQL, MongoDB, and other technologies. He is an expert in building various stacking models with H2O, Xgboost, and Keras in HPC and AWS, as well as deep learning models for image processing and categorization. Shichao has also built a recommender system web API using Spark and has expertise in data collection using Scrapy, Selenium, and Nifi. Aside from his work at Oracle, Shichao has also worked as a Graduate Research Assistant at the University of Connecticut, where he built a streaming data collection pipeline with customized data engineered libraries deployed in clusters with RDBMS and MongoDB & Elasticsearch. He has also developed a side project web app deployed for face similarity searching. Shichao has also worked as a Data Science Intern at Neos Consulting, where he implemented a Data Lake Project of big data analytics in Hadoop System for AIG and built predictive models on Hadoop data lake & oracle & netezza & SSAS cubes for AIG. Shichao's extensive tech stack includes AWS, MongoDB, XGBoost, Keras, Python, Deep Learning, Selenium, Spark, MySQL, Elastic Search, Hadoop, Big Data, ETL, and Apache Hive. He is a research scientist and data scientist with a strong background in web technologies. Shichao is a highly motivated and detail-oriented individual who is passionate about using data to drive business decisions.