Education
University of North Carolina at Chapel Hill

Masters of Applied Data Science (MADS)

Aug 2025Chapel, Hill

University of North Carolina at Chapel Hill

Bachelor's Data Science & Information Science

Colonel John H. Robinson Scholar

Aug 2021 – May 2025Chapel Hill, NC

Experience
Data Science and Visualization Intern, Merck
  • •Redesigned a Power BI dashboard using Amazon Redshift data and AI/​LLMs to automate KPI summaries, streamline workflows, and align with enterprise reporting
  • •Built scalable data models and pipelines across Redshift (55+ schemas, 150+ tables), SharePoint, and MS SQL using SQL, DAX, Power Query, and Dataiku
    • Jun 2025 – presentRahway, NJ
  • •Delivered insights by defining KPIs, iterating on dashboards, and collaborating with stakeholders to answer key business questions
  • •Drove adoption in 10+ countries with 800+ monthly users, 50+ dashboard sections, and 10,000+ interactions; managed timelines and stakeholder expectations
    • 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
  • •Optimized 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
    • Skills
    Programming Languages - Python, R, SQL, DAX, Power Query, HTML/CSS, JavaScript
    Data Tools - Libraries(Pandas, NumPy, Scikit-Learn, Seaborn), Power BI, Tableau, Dataiku, Databricks, Excel, RStudio, MySQL Workbench, DBeaver, Amazon Redshift, Atlasstian Confluence, Jira
    Language - English, Chinese(Mandarin and Fuzhounese)
    Soft Skills - Data Storytelling, Time Management, Curiosity, Critical Thinking, Detailed Oriented, Cross-Functional Collaboration
    Projects
    Predicting Concrete Compressive Strength, Project Lead (DATA 110)
  • •Developed a machine learning regression model using XGBoost to predict concrete strength (R² = 0.926), outperforming baseline models by 9.2%
  • •Identified key variables (cement content, curing age) through feature importance analysis
    • Jan 2025 – May 2025
  • •Tools: Python (Pandas, Scikit-learn, XGBoost)
    • Awards and Certificates
    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.

    Intel Project Certification⁠

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

    Recording Academy⁠

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