Machine Learning Team Leader

Xinwen Zhang

EDUCATION ***********@*****.*** 706-***-**** https://www.linkedin.com/in/xinwen-zhang-skyler0118/ Columbia University M.A. in Statistics GPA 3.92/4.0 New York, NY Teaching Assistant / Grader Aug 2023 - Dec 2024

University of Georgia B.S. in Statistics GPA 3.95/4.0 Athens, GA Dean's List, Summa cum laude, National Statistics Honor Society, Presidential Scholar Aug 2020 - May 2023 Coursework: Multivariate Data Analysis, Experimental Design, Regression Modeling, Advanced Machine Learning PROJECTS

Statistical Product Analysis of Marketing Campaigns New York, NY Position: Team leader Programming: Python April 2024 - May 2024

• Data Preparation & A/B Testing: Handled raw marketing data to uncover patterns across customer demographics and purchasing channels, forming the foundation for targeted marketing strategies, developed Tableau dashboards for A/B test results, and identified differences in campaign effectiveness across subpopulations. Optimized 25% of email campaigns, increased engagement, and suggested more personalized email engagement strategies.

• ML & Predictive Modeling: Utilized LightGBM, Decision Trees, ATE/ CATE estimation with meta-learners to identify high-impact subpopulations, resulting in a 10% increase in ROI and optimized model’s target scores.

• Performance Monitoring & Optimization: Improved corrective actions by 15% through performance tracking. Reduced investment in low-performing segments by 20% based on purchasing behavior analysis. Provided reports and strategic recommendations, advising on personalized engagement strategies and optimal resource allocation. Predicting Loan Default Status Using Machine Learning Models New York, NY Position: Co-researcher Programming: Python April 2024 – May 2024

• Data Preparation & Encoding: Analyzed financial dataset, utilizing imputation (MICE) techniques to address missing data and reduce noise through outlier removal. Applied Encoding and dimensionality reduction (PCA), retaining 85% of data variance. Created visualizations to reveal loan status patterns and guide feature engineering.

• Model & Evaluation: Compared machine learning models (Logistic Regression with Lasso, Decision Tree, Random Forest, XGBoost) to optimize recall, precision, and F1-score. Identified Decision Tree as the best fit, balancing interpretability, efficiency, and reliability for high-risk loan prediction while minimizing false positives.

• Insights & Impact: Delivered actionable insights to improve lending strategies, optimize capital allocation, and support institutional financial resilience with data-driven decision-making. UGA 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

• Data Visualization & Insights: Developed Tableau dashboards to visualize complex survey data (100+ questions). Conducted data analysis, resulting in a 15% increase in library visits and improved overall library engagement.

• Statistical Analysis: Applied techniques (Data Cleaning, EDA, Hypothesis Testing, LASSO, Ordered Logistic Regression, FDR Control) to ensure quality and explore relationships in library usage patterns. Increased satisfaction by 20% in targeted majors through insights into student demographic trends.

• Collaboration: Engaged regularly with UGA Library Management team and Ithaka S+R surveys to define KPIs, align strategic decisions with national survey benchmarks, and inform adjustments through data-driven reports. INTERNSHIP

Convoloo from Convuvle, LLC. Data Analyst Intern San Francisco, CA E-Commerce Product Recommendation Algorithm Oct 2024 - Dec 2024

• Data Processing & Automation: Leveraged PySpark to process and analyze over 50K product attributes, automating product comparisons based on size, color, and brand.

• Predictive Modeling & Algorithm Development: Developed a recommendation algorithm to improve product suggestions' relevance, utilizing ranking techniques based on similarity scores to match customer preferences.

• UI & System Integration: Built a Streamlit UI dashboard to deliver real-time recommendations, successfully integrating the recommendation engine into e-commerce website features. This enabled stakeholders to review data-driven insights and contributed to a boost in average order value and a 15% increase in click-through rates. Market Survey & Data Intelligence Research Co., Ltd. Data Analyst Intern Guangxi, China Market Research and Analysis Report of Cigarette Consumers in Guilin Jun.2021- Jul.2021

• Data Analysis & Visualization: Used Tableau and R to create multi-way tables and visualizations, exploring consumer data by demographics and preferences. Analyzed policy and COVID-19 impacts on consumption trends.

• Reporting & Strategy: Presented insights in non-technical and provided strategic recommendations to client goals. SKILLS

Techniques Python, R, SQL, JMP, SPSS, Streamlit, Tableau, PowerBI, Microsoft Office Suite Analytics Data visualization, Experimental design, Statistical Inferences, Clustering, Data mining, Machine learning, A/B testing, Predictive/Regression Modeling, Business Strategy, Data management Language Mandarin (native), English (proficient), Korean (conversational)

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