Candidate Information Name Available: Register for Free Title Machine Learning Data Analysis Target Location US-NJ-Jersey City Email Available with paid plan Phone Available with paid plan	20,000+ Fresh Resumes Monthly     View Phone Numbers     Receive Resume E-mail Alerts     Post Jobs Free     Link your Free Jobs Page     ... and much more Register on Jobvertise Free
Search 2 million Resumes Keywords: City or Zip:	Related Resumes Machine Learning Data Visualization Manhattan, NY Data Scientist Machine Learning Engineer Manhattan, NY Data Scientist Machine Learning Edison, NJ Machine Learning Data Engineer Edison, NJ Data Scientist Machine Learning Manhattan, NY Machine Learning Data Analyst Florham Park, NJ Machine Learning Data Analysis Manhattan, NY

Candidate's Name
Street Address  Amsterdam Ave, PHONE NUMBER AVAILABLENew York, NY Street Address  EMAIL AVAILABLEEDUCATIONColumbia University GPA 3.Street Address /4.0 New York, NYMaster of Arts in Statistics Expected Dec Street Address
 Coursework: Probability, Statistical Inference, Linear Regression Models, Applied Data Science, Online Experiments Design, Advance Data Analysis, Statistical Machine Learning University of Georgia GPA 3.95/4.0 Athens, GABachelor of Science in Statistics Aug 2020 - May 2023 Dean's List, Summa cum laude, National Statistics Honor Society (Mu Sigma Rho), Presidential Scholar Coursework: Probability, Statistical Methods, Statistical Programming, Applied Experimental Designs, Applied Regression Analysis, Multivariate Analysis & Machine Learning, Quality Assurance, Categorical Data Analysis SKILLSProgramming Python, R, SQL, JMP, SPSS, TableauAnalytical Skills Data visualization, Data Cleansing, Regression modeling and analysis, Experimental design and analysis, Statistical Inferences, Clustering, Data mining, Machine learning analysis, Hypothesis testing (A/B testing), Consultative and problem-solving mindset Software Excel, Microsoft Office SuiteLanguage Mandarin (native), English (proficient), Korean (conversational) PROJECTSUGA Libraries Surveys: A Comparison with National Survey via Ithaka S+R Athens, GA Position: Team leader Client: UGA Library Management Programming: R, Tableau Aug 2022 - May 2023 Conducted comprehensive data cleaning and Exploratory Data Analysis (EDA) for three local library surveys(faculty, undergraduates, and graduates), each with 100+ Likert scale and multiple-choice questions. Compared responses across these surveys, such as gender, major, etc. Created Tableau dashboards to visualize survey data, facilitating informed decision-making for library management. Utilized statistical techniques (Hypothesis Testing, Independence Test, False Discovery Rate Control, Continuation Ratio model, Ordered Logistic Regression etc.) to analyze relationships between variables, providing insights into library usage patterns. (e.g., the relationship between students' frequency to library and satisfaction with library facilities; association among the frequency of library visits, responses to library satisfaction, and students majors; disciplinary variations in faculty attitudes toward e-books in teaching and research etc.) Created Tableau dashboards for data-driven insights into library management, comparing local survey data with national benchmarks, offering insights and aligning strategic direction with national advocacy trends Statistical Product Analysis of Marketing Campaigns - Graduate Project New York, NY Position: Team leader Programming: Python, Tableau April 2024 - May 2024 Cleaned and processed data for a balanced experimental design. Evaluated the effectiveness of email marketing campaigns and tackled heterogeneity in customer responses by estimating Conditional Average Treatment Effects (CATE) across different subpopulations using meta-learners such as S-learner, T-learner models, enhancing targeted marketing strategies Developed Tableau dashboards to visualize email marketing data, optimizing campaign strategies and improving ROI. Performed A/B testing and meta-learners to evaluate and refine marketing campaigns based on subpopulation responses.Predicting Loan Default Status Using Machine Learning Models New York, NY Position: Co-researcher Programming: Python, scikit-learn April 2024 - May 2024 Applied machine learning models to financial data, improving loan default predictions and supporting risk management. Focused on optimizing Recall and Precision, identifying Decision Tree as the most effective model for interpretability and efficiency.INTERNSHIPMarket Survey & Data Intelligence Research Co., Ltd. Guangxi, China Data Analysis & Consulting Intern Client: China Tobacco Guangxi Industrial Co., Ltd. Jun.2021- Jul.2021 Project: Market Research and Analysis Report of Cigarette Consumers in Guilin Programming: SPSS, R Contributed to project conceptualization in the business data project's initial operational phase Created multi-way tables to cross-analyze cigarette consumer data (age distribution, region, gender, preferred brands, and purchasing occasions) and visualized findings through various charts in Exploratory Data Analysis Analyzed the impact of policies and COVID-19 on cigarette consumption across different demographics. Compared and summarized client-interested analytical data, authored reports in non-technical language, and provided business development suggestions and actionable recommendations to the client.