Eileen Ni
About Eileen Ni
A professional miner focused on mining data for predicting customers’ profiling and buying pattern, building attrition models for proactive customer attrition/churn prevention, mining association rules for cross-sale and up-sale and market basket analysis. An experienced governor focused on data consistency, data quality and proper data structure for the needs of all stakeholders. Strength in problem solving, adapting to change and always an effective member in team work. Specialties: Data mining and machine learning techniques, such as statistical data analysis, decision tree, time series analysis, association rules, clustering, linear and non-linear regression and principal component analysis and so on. BI software and IT platforms: WEKA, R, Tableau, SAS, Informatica CMDM, Salesforce.com Languages: JAVA, C++, C, Visual Basic, Python, SQL Databases: MS SQL Server, Access