Exploratory Data Analysis & Cleaning Pipeline

Goal & Challenge:

Automate raw dataset preprocessing, remove duplicate records, and discover statistical correlation patterns.

My Role:

Python Analyst: Authored modular preprocessing scripts in Jupyter Notebook.

Method & Tools:

Python 3, Pandas DataFrames for imputation, Matplotlib and Seaborn heatmaps for distribution analysis.

Result & Impact:

Processed over 4,000+ records with zero data loss, establishing a reusable template for future datasets.