This project explores advanced data manipulation and analysis techniques using Pandas, one of Python’s most powerful data libraries. It demonstrates practical applications of complex operations to handle, transform, and analyze datasets efficiently.
🔹 Key Topics Covered:
MultiIndexing and hierarchical data structures
GroupBy, aggregation, and pivoting operations
Data cleaning, reshaping, and merging
Handling time series and missing values
Performance optimization with vectorization
💡 Tech Stack: Python, Pandas, NumPy
This project reflects my growing expertise in data analysis and preparation, focusing on writing efficient, clean, and scalable code for real-world data engineering and analytics workflows.
