Python Data Analysis Help Needed (EDA in Jupyter Notebook)

I’m looking for someone experienced in Python and data analysis to help structure a clean Exploratory Data Analysis (EDA) in a Jupyter Notebook.

The goal is to explore a dataset and clearly document the insights.

Tasks include:
- Overview of the dataset structure and features
- Analysis of missing values, outliers, and anomalies
- Basic data cleaning with explanation
- Visualizations and observations
- Including one additional open-source dataset for comparison
- Running a simple baseline model

Deliverable:
- Jupyter Notebook exported as a PDF (minimum ~3 pages)
- GitHub link containing the notebook

Experience with Python, Jupyter, pandas, and basic machine learning preferred.