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  "basics": {
    "name": "Linsi Zhong",
    "label": "Data & Business Analyst",
    "email": "linsi6280@gmail.com",
    "url": "https://linsizhong.com",
    "summary": "Data & business analyst and University of Waterloo Math/Statistics grad, actively looking for DA/BA roles. Builds data pipelines, runs A/B tests, and ships dashboards - from churn prediction to ad-spend optimization.",
    "location": {
      "city": "Ontario",
      "region": "ON",
      "countryCode": "CA"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "linsizhong",
        "url": "https://www.linkedin.com/in/linsizhong/"
      },
      {
        "network": "GitHub",
        "username": "linsi6280",
        "url": "https://github.com/linsi6280"
      }
    ]
  },
  "work": [
    {
      "name": "Bank of Communications",
      "position": "Business Analyst Intern",
      "startDate": "2024-05",
      "endDate": "2024-08",
      "highlights": [
        "Automated data extraction and preprocessing for multi-gigabyte customer datasets using SQL queries, reducing manual data preparation time for weekly business reports.",
        "Developed key features and preprocessed data using Python (pandas, NumPy) for a customer churn prediction model, boosting predictive accuracy by 16% and identifying 10 primary churn indicators.",
        "Designed and deployed Tableau dashboards to track KPIs such as customer acquisition cost and product penetration, equipping the retail banking team with actionable insights for strategic planning."
      ]
    }
  ],
  "projects": [
    {
      "name": "Marketing Campaign A/B Testing Analysis",
      "description": "Ran an A/B test on 588K users to quantify the effect of ad exposure on conversion with a two-proportion z-test in Python, finding a statistically significant 43% relative lift in conversion rate (p < 0.0001). Validated the effect via logistic regression controlling for total ad exposure, day, and hour, then recreated the workflow in SQL with a Tableau dashboard visualizing conversion trends by day and hour.",
      "keywords": [
        "SQL",
        "Python",
        "Tableau",
        "Logistic Regression"
      ],
      "entity": "Independent Project",
      "url": "https://linsizhong.com/#work"
    },
    {
      "name": "NovaMart Marketing Analytics",
      "description": "Built an end-to-end data pipeline with data cleaning and sentiment analysis on customer reviews. Delivered an interactive Power BI dashboard visualizing KPIs and data-driven recommendations to shift ad spend toward higher-performing channels, improving customer satisfaction.",
      "keywords": [
        "SQL",
        "Python",
        "Power BI"
      ],
      "entity": "Independent Project",
      "url": "https://linsizhong.com/#work"
    },
    {
      "name": "Implementing and Comparing Optimal Survival Tree Algorithm",
      "description": "Cleaned an R-package dataset, built a life table, and constructed three survival models (Cox, RSF, OST) in R - identifying Cox as the top performer and OST as optimal relative to RSF based on Concordance and AUC. Achieved 82% final prediction accuracy by applying tree pruning to mitigate model overfitting.",
      "keywords": [
        "R",
        "Survival Analysis",
        "Cox",
        "RSF",
        "OST"
      ],
      "entity": "Independent Project",
      "url": "https://linsizhong.com/#work"
    },
    {
      "name": "Course Schedule Optimization",
      "description": "Built and solved a linear programming model in Python with Gurobi to optimize course-schedule assignments under real-world constraints, increasing professor satisfaction scores by 34%.",
      "keywords": [
        "Python",
        "Gurobi",
        "Linear Programming"
      ],
      "entity": "Independent Project",
      "url": "https://linsizhong.com/#work"
    }
  ],
  "education": [
    {
      "institution": "University of Waterloo",
      "studyType": "Bachelor of Mathematics, Mathematical Studies (Honours), Statistics Minor",
      "score": "President's Scholarship",
      "startDate": "2020-09",
      "endDate": "2024-10"
    }
  ],
  "skills": [
    {
      "name": "Stack",
      "keywords": [
        "Python",
        "R",
        "SQL",
        "SAS",
        "Matlab",
        "MySQL",
        "Snowflake",
        "AWS",
        "R Studio",
        "Excel",
        "Power BI",
        "Tableau",
        "NumPy",
        "pandas",
        "Matplotlib",
        "SciPy"
      ]
    }
  ],
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    "pdf": "https://linsizhong.com/downloads/Resume.pdf",
    "mcp": "https://linsizhong.com/mcp"
  }
}