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learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers. Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods. Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards. Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis. Developing automated web crawler on MMA website to

of death thoughts on deception, Master’s Thesis, Taiwan, 2018 •This study uses mortality salience adopted from Terror Management Theory for treatment before people lying and rec-ord the physiological signals for data analysis. 中原大學, 理學士（BS）, 心理學, 2006 ~ 2008 Technical Skills •Statistical Modeling, Machine Learning(focus on NLP model), EDA and ETL, Feature Engineering. •Python, ELK Stack(Elasticsearch, Logstash, Kibana), Power BI. •Physiological Signal Analysis - GSR, EEG & ERPs, MRI, Heart-rate, Matlab, SPSS. Experience: Deep Learning, JavaScript, HTML, R, Docker, Google Cloud Platform, Azure, AWS. Side Project