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Education
University of North Carolina at Chapel Hill

Bachelors in Data Science & Information Science

Colonel John H. Robinson Scholar

Aug 2021 – May 2025Chapel Hill, NC
Skills
Programming - Python 3 (Pandas, NumPy, Scikit-learn), R, SQL, HTML, CSS, JavaScript, JQuery

Tools - R Studio, Tableau, PowerBI, Excel (advanced functions, pivot table, A/B Testing, V-LOOKUP), MySQL Workbench, VSCode, MS Office
Language - Chinese(Mandarin and Fuzhounese)
Soft Skills - Data Storytelling, Problem Solving, Time Management, Curiosity, Critical Thinking, Detailed Oriented, Cross Functional Collaboration, Communication
Professional Experience
Excel & Tableau Trainee/Intern, Global Career Accelerator: Data Analytics
  • •Streamlined data processing workflows using Excel (pivot tables, advanced functions) and Python to enhance analysis efficiency and identify key performance indicators.
  • •Designed Tableau dashboards to compare energy efficiency recommendations, including renewable energy trends, optimizing sustainable data center locations for Intel.
    • May 2024 – Aug 2024Chapel Hill, NC
  • •Conducted hypothesis testing and statistical analysis, identifying insights that reduced website bounce rates by 10% and increased mobile engagement by 15%.
  • •Delivered actionable visualizations adhering to data storytelling best practices, driving optimization strategies across multiple industries.
    • Assistant Manager, Jin Jin Restaurant
  • •Optimizing POS and CRM systems ensured 100% order accuracy for 50+ transactions per hour.
  • •Boosted customer satisfaction during high-demand periods by optimizing service processes, and efficiently managing 150+ customers per shift to ensure timely and quality service.
    • Jun 2017 – Aug 2021Stantonsburg, NC
  • •Resolved operational challenges using keen attention to detail and problem-solving skills to generate business reports.
    • Projects
    Global Socio-Economic Predictive Analysis, Project Lead (STOR 320)
  • •Investigated global socio-economic factors affecting living conditions and export performance to empower policymakers with data-driven insights, enhancing living standards, trade resilience, and economic progress across 190+ countries.
  • •Achieved an R² of 0.85 in predicting living conditions and a mean absolute error (MAE) of <10% for export forecasts, using machine learning models and over 100 global indicators.
    • May 2024 – Aug 2024
  • •Analyzed datasets with 10,000+ records to uncover actionable insights focusing on education, governance, and investment conditions.
    • Portfolio Project, Grammy Website Engagement Analysis
  • •Reduced bounce rates by 10% and increased mobile engagement by 15%.
  • •Analyzed session duration (90–100 secs) and page views (25K+ daily).
    • May 2024 – Aug 2024
    Porfolio Project, Intel Sustainability Dashboard
  • •Created dashboards highlighting NW (41.92%) as a top renewable energy producer.
  • •Recommended data center sites based on regional energy surpluses (Mid Atlantic, July: 82.6M).
    • May 2024 – Aug 2024
    Predicting Concrete Compressive Strength, Project Lead (DATA 110)
  • •Led development of ML model to predict concrete strength using XGBoost (R²=0.926), outperforming linear models by 9.2%
  • •Identified cement content and curing age as key predictors through feature importance analysis
    • Mar 2025 – May 2025
  • •Tools: Python (Pandas, Scikit-learn, XGBoost), statistical testing
    • Awards and Certificates
    Recording Academy

    Website Audience Analysis: Delivered data-driven growth strategies using statistical analysis and visualization.

    Intel Project Certification

    Data Analysis for Sustainability Project: Analyzed energy consumption to recommend sustainable data center locations.

    University of North Carolina at Chapel Hill - Data Analytics Certification

    Certified in Data Analytics: Excel (Advanced Functions, PivotTables), Tableau (Data Blending, Dashboards). Completed advanced data analysis projects, leveraging Excel for statistical modeling and Tableau for dynamic dashboards and data storytelling.

    Related Concepts

    Concepts: data-driven decisions, statistical techniques, insights, dashboards, data visualization, predictive modeling, data cleaning, data transformation, data querying, scripting languages, statistical software, actionable insights, product strategy, analytical approaches, data-driven stories, hypothesis development, data modeling, business insights, technical frameworks, exploratory data analysis, key performance indicators.