Ying Li is a Senior Data Scientist on the Predictive Enterprise Team at Neudesic. With a combined background in econometric modeling and business analytics, Ying uses hands-on experience to develop machine learning and data mining solutions. These solutions include dashboards for visualizing recommendations, exploratory and statistical analysis, analysis of online marketing campaigns, predicting churning/fraudulent customers, forecasting sales, and other solutions. Ying also led the ETL implementation of large retail data, crawled data from websites, and utilized Hadoop ecosystem tools to include Hive, Mahout, Sqoop, Impala, Pig, and Oozie for data preparation, analysis, and pipeline automation.
October 25, 2018
11:00 - 11:45
204: Delivering the Value of Machine Learning and AI from Your Data Science Practice to Growing Consumers of Analytics
Machine Learning and AI are becoming core components of both customer engagement and operational refinement initiatives. Institutionalizing advanced analytics, whether part of a centralized Analytics Center of Excellence (ACE), or a stand-alone business unit, requires a consistent set of best practices designed to ensure the full potential of a utility’s machine learning and AI initiatives … Continued