past-projects

Hi there 👋, I'm Judy Zhu!

🎓 Master's in Machine Learning and Data Science
🌟 Specializing in predictive analytics, data engineering, and AI solutions.
💼 Open to collaborations in data science and machine learning.

🔧 Technologies & Tools

• Python, SQL, Spark, Azure, LangChain
• Machine Learning: Scikit-Learn, PyTorch, TensorFlow, XGBoost

📂 Projects

1. Airbnb Pricing Prediction

• Developed a predictive model for Airbnb listing prices based on features such as location, amenities, and reviews.
• Conducted Exploratory Data Analysis (EDA) to uncover key pricing determinants.
• Built machine learning models including Random Forest and Gradient Boosting.
• Tools: Python, Scikit-Learn, Pandas.

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2. Aramco Internship

• Automated the BatPaC model analysis for battery pack cost estimation using Python.
• Provided detailed breakdowns of cathode and battery costs, trends, and regional comparisons.
• Tools: Python.

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3. Economics Project

• Conducted data cleaning, statistical modeling, and visualization for economic trend analysis.
• Explored relationships impacting market dynamics.
• Tools: Python, Tableau.

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4. LCF Donors Analysis and Classification

• Analyzed donor data for targeted fundraising strategies.
• Applied clustering and classification techniques to segment donor behavior.
• Visualized trends using charts and plots.
• Tools: Python, Scikit-Learn, Matplotlib.

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5. Netflix Tableau Dashboard

• Designed Tableau dashboards to analyze Netflix’s market share and content preferences.
• Visualized subscriber growth, genre preferences, and country-specific trends.
• Tools: Tableau.

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6. Spotify Recommendation System

• Built recommendation systems (popularity-based, content-based, and hybrid) using Spotify data.
• Utilized datasets from the Spotify API and Kaggle.
• Tools: Python, Pandas, Scikit-Learn.

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7. Cloud Engineering Project: Heart Attack Risk Prediction

• Developed a full-stack system for predicting heart attack risks.
• Designed a modular pipeline for data preprocessing, model training, and deployment.
• Deployed the model on AWS EC2, storing artifacts in S3.
• Tools: Python, AWS, Pylint.

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8. Deep Learning Project: Facial Image Classification and Style Transfer

• Combined facial recognition with neural style transfer techniques.
• Used CNN, YOLOv5, and Adaptive Instance Normalization for high-quality results.
• Tools: Python, TensorFlow, PyTorch.

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Folder Structure

Each project resides in its respective folder, with detailed documentation and scripts:

• Airbnb_Pricing_Prediction
• Aramco_internship
• Economics_project
• LCF-Donors-Analysis-and-Classification
• Netflix_Tableau_Dashboard
• Spotify_Recommendation_System
• cloud_project_heart_attack_risks
• deep_learning_project_facial_style_transfer

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Contact

If you have any questions or would like to collaborate, feel free to reach out:

• Email: judyzhu7676@gmail.com
• LinkedIn: Judy Zhu

Thank you for visiting my portfolio repository!