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zohbug/README.md

👩🏽‍💻 Zoey Kenneth – Data Analytics & Data Science Portfolio

Welcome to my professional portfolio!
I’m a final-year Data Science major at UMGC, with a Data Analytics Certificate from Purdue University and the Google Data Analytics Certificate.
My academic and certification training has given me hands-on experience in SQL, Python, machine learning, and visualization.
This portfolio highlights projects that demonstrate my ability to turn raw data into actionable insights for real-world decision-making.

🔹 Skills

  • Languages: SQL, Python (pandas, scikit-learn, matplotlib, seaborn), R
  • Tools: Tableau, Power BI, Excel, SQLite, Kaggle, Jupyter
  • Techniques: Regression, Classification, Clustering, ETL Pipelines, Data Visualization, Fairness & Bias Mitigation (AIF360)

📂 Featured Projects

1. Stroke Prediction Model

  • Objective: Built a predictive model to identify individuals at higher risk of stroke.
  • Approach: Applied logistic regression with feature preprocessing and model evaluation.
  • Impact: Achieved ~78% accuracy and strong recall, showing how predictive analytics can support early health interventions.
  • Tools: Python, scikit-learn

2. Wine Quality Clustering

  • Objective: Explored natural groupings in chemical properties of red and white wines.
  • Approach: Performed K-means and hierarchical clustering with PCA for visualization.
  • Impact: Identified acidity and alcohol as key drivers of quality, uncovering insights that could inform product development and quality control.
  • Tools: Python, scikit-learn, matplotlib

3. Campus Crime Case Study

  • Objective: Analyzed annual campus crime reports to identify safety trends.
  • Approach: Cleaned and aggregated data, then built dashboards and visualizations.
  • Impact: Produced actionable insights on incident patterns that could guide policy and safety resource allocation.
  • Tools: Python, Tableau

4. ETL Pipeline – Candy Orders 2022–2024

  • Objective: Designed a pipeline to consolidate three years of candy order data.
  • Approach: Built a SQL-based Extract–Transform–Load (ETL) process with calculated fields.
  • Impact: Delivered a unified staging table that streamlined reporting and enabled future sales forecasting.
  • Tools: SQLite, SQL

📜 Education & Certifications

  • 🎓 B.S. in Data Science – University of Maryland Global Campus (UMGC)
  • 📘 Data Analytics Certificate – Purdue University
  • 📗 Google Data Analytics Certificate

🌍 Connect

Popular repositories Loading

  1. zohbug zohbug Public

  2. stroke-prediction stroke-prediction Public

    Logistic regression model to predict stroke risk from health data