Ding Li

Data Scientist on Machine Learning
Summary
Ding Li is a highly-skilled and experienced data scientist with a passion for applying state-of-the-art artificial intelligence research to develop AI-based business solutions. With a diverse educational background that includes a Master of Science in Computer Science, Telecommunication & Networking, and Polymer Chemistry and Physics, as well as a Bachelor of Science in Material Physics, Ding Li has a wealth of knowledge and expertise in the fields of machine learning, deep learning, reinforcement learning, and natural language processing. 
Ding Li has held a variety of senior roles throughout his career, including Data Scientist at Everyday Health Group, Senior Director of Data Science at Primary PartnerCare®, Business Intelligence Consultant at The Estée Lauder Companies Inc., Analytics Engineer at NBCUniversal, Inc., and Senior Programmer Analyst at American Institute of Physics. He has also worked as a Software Engineer at Health Market Science and Iptivia, and as a Data Analyst at the University of Pennsylvania. 
In addition to his comprehensive technical and analytical skills, Ding Li has experience using a range of database technologies, including MS SQL, Redshift, PostgreSQL, MySQL, and Oracle, and is proficient in programming languages such as Python, Java, and C. He is also experienced in using data visualisation tools such as Tableau, QlikView, and Power BI, as well as analytics suites, including Adobe Analytics and Google Analytics.