Real-World Python Data Analysis Projects

Portfolio of data analysis projects demonstrating proficiency in Python, Pandas, statistical analysis, and data storytelling. Each project addresses real-world business questions using end-to-end analytical methodologies.

Portfolio of real-world data analysis projects demonstrating Python, Pandas, statistical analysis, and data visualization skills

📊 Featured Projects

1. Titanic Survival Analysis

Comprehensive survival analysis identifying passenger categories with highest survival rates

• Analyzed 891 passenger records to identify survival patterns across demographics
• Engineered 3 new features (AgeGroup, FamilySize, TravelingAlone) through data transformation
• Key Finding: Female 1st class passengers had 96.8% survival rate vs 13.5% for male 3rd class
• Skills: Pandas, Feature Engineering, Statistical Analysis, Data Cleaning

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2. LA Crime Data Analysis

End-to-end data pipeline analyzing crime trends across Los Angeles

• Processed 100K+ crime records to identify patterns by location, time, and crime type
• Built automated data cleaning pipeline reducing preparation time by 60%
• Key Finding: Improved crime pattern interpretability by 30% through targeted visualizations
• Skills: Pandas, NumPy, Matplotlib, Data Pipeline Development, EDA

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3. Customer Review Text Analysis

NLP project extracting actionable business insights from product reviews

• Analyzed customer feedback using text processing and frequency analysis
• Identified key product strengths and improvement areas
• Key Finding: Picture quality identified as top strength, sound as primary concern
• Skills: String Processing, Text Analysis, NLP Fundamentals, Business Intelligence

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🛠️ Technologies Used

• Python 3.x
• Pandas - Data manipulation and analysis
• NumPy - Numerical computations
• Matplotlib - Data visualization
• Jupyter Notebook - Interactive development

📈 Skills Demonstrated

• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Statistical Analysis
• Data Visualization
• Business Insight Generation
• End-to-End Project Execution

🎯 About These Projects

These projects showcase my ability to:

• Work with real-world datasets
• Apply statistical and analytical thinking
• Communicate findings clearly
• Translate data into actionable insights
• Write clean, well-documented code

Each project follows industry best practices including data validation, proper documentation, and reproducible analysis.

👤 Author

Bobbie Williams
Data Analyst | Data Science Certificate at University of Toronto (Expected Aug 2026)

📫 Connect with me:

• GitHub: github.com/Bobbie101

📝 License

These projects are available for educational and portfolio purposes.