Business Oriented Data Science Veteran: Skillful in building/maintaining production/demo/R&D predictive models from scratch, especially in consumer credit and insurance industry. Stay updated on technology: SAS Data Mining Competition 1st place team Captain. Big data (ECL and Spark) platform/Machine Learning packages user. Builder of Could Computing, Deep Learning, Robot Automation & NLP demo cases. Self motivated: analytic support for turning business ideas to a real product in less than 1½ years; found valuable patterns in existing data asset via social network technique and worked closely with my colleagues to enhance product metrics.Business Insight Provider: Helped Product Management team convert an idea to an online product in one year via providing Analytic Insight in Product Positioning, Data Asset Acquisition, Product Audit and other multiple aspects. ●Industry Domain: Consumer Credit Scoring; Insurance/Multi-Industry Fraud Detection; Healthcare Informatics. ●Business Support: Production Development, Sales Support, Data Acquisition, Skill Tutoring, International Business, Platform Migration, Compliant Reason Code.●Software Exposure: Amazon Web Service, Spark, Hive, Mapreduce, SAS/WPS, R, Python, Microsoft SQL Server, MATLAB, SPSS, C, Enterprise Miner, Enterprise Guide, Oracle SQL Navigator, Regular Expression, Relationship Data.