Used Car Market — EDA & Data Cleaning (Python/pandas)

Portfolio case study focused on exploring a used car dataset, cleaning it, and preparing it for modeling/analysis.

Tech stack

• Python 3.12
• pandas, numpy
• matplotlib / seaborn
• Jupyter

Repository structure

• notebooks/ — EDA and data cleaning notebooks
• data/ — notes and small samples (full dataset kept local)
• images/ — key charts / screenshots
• docs/ — short write-ups

Status

Work in progress. Next steps:

• finalize cleaning pipeline
• add summary of key insights
• export cleaned dataset (local) and keep small sample in repo