Project Overview

DataScrub is a Python package built to streamline repetitive data cleaning and preprocessing tasks commonly encountered during data analysis workflows. The goal was to reduce boilerplate code and improve consistency when working with pandas DataFrames.

The package provides utilities for handling missing values, standardizing data formats, and preparing datasets for downstream analysis.

Key Challenges

• Designing a flexible API that integrates naturally with pandas workflows.
• Handling a variety of real-world data quality issues.
• Ensuring usability for both small scripts and larger data pipelines.

Outcome

Delivered a reusable Python package that simplifies data preparation, improves dataset consistency, and accelerates exploratory data analysis and preprocessing tasks.