Jing Liu

Education

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  University of California, Santa Cruz Extension

  2017 - 2019

  Certification of Database and Data Analytics Database and Data Analytics 3.5

  Activities and Societies: Hands On Experiment About Internet of Things; Discussion About Solution With Big Data Processing; Basic Relational Database and Data Analytics Skills Practicing; Programming Skills Sharpening. Movie Recommender Tried to recommend one movie of the top 15 from Rotten Tomatoes to 65 classmates based on survey results.Coded to collect movies’ information by web scraping the target information and further information on the websites following the links. Run a content-based filter on collaborated datasets, using NLP(regular expression) and similarity calculated algorithm.Run t-test and ANOVA to examine the hypothesis that is… Show more Movie Recommender Tried to recommend one movie of the top 15 from Rotten Tomatoes to 65 classmates based on survey results.Coded to collect movies’ information by web scraping the target information and further information on the websites following the links. Run a content-based filter on collaborated datasets, using NLP(regular expression) and similarity calculated algorithm.Run t-test and ANOVA to examine the hypothesis that is related to enhancing the recommender performance.Credit Card Fraud Detection and Prevention Built the fraud detection system with AWS, Apache Spark and Hadoop and let it process simulated streaming data that were set corresponding ranges and probabilities ahead of time. Show less

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  University of the Pacific

  2019 - 2022

  Master's degree Data Science 3.95

  Activities and Societies: Data Analytics By Using Python and R; Predictive Modeling By Using Machine Learning Algorithms; Database Design By Using SQL, NoSQL and Neo4j; Method Research By Doing Survey and Displaying Statistic Tests; Hot topic about Moral Dilemmas in AI By Using Example of Self-driving car, How AI Promote Public Safety and Criminal Justice. Customer Segmentation & Retention Models Presented a proposal to a SaaS company on saving 11% energy/ resources on decreasing churn rate from 22% to 5%:Uncovered the churn reasons by detecting the significant features by Scores Ranking gotten from SelectKBest;Targeted possible churn customers by building multiple predictive models(LogisticRegression, GaussianNB, GradientBoostingClassifier, SVC, RandomForestClassifier, KNeighborsClassifier and Relu Neural Network) based… Show more Customer Segmentation & Retention Models Presented a proposal to a SaaS company on saving 11% energy/ resources on decreasing churn rate from 22% to 5%:Uncovered the churn reasons by detecting the significant features by Scores Ranking gotten from SelectKBest;Targeted possible churn customers by building multiple predictive models(LogisticRegression, GaussianNB, GradientBoostingClassifier, SVC, RandomForestClassifier, KNeighborsClassifier and Relu Neural Network) based on the existed labeled segmented datasets. Compared and evaluated the performance by using classification reports(precision, recall, f1 score, accuracy);Targeted furtherly on high-value customers by displaying K-Means for segmentation and generated specific strategies and corresponding cycles on decreasing churn rate. Show less

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  Capital Normal University

  2001 - 2006

  Bachelor's degree of science Applied Mathematics

  Linear AlgebraMathematics AnalysisBasic GeometryTopologyOrdinary Differential Equations