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.