I help e-commerce businesses clean, structure, and analyze messy datasets so they can actually use their data for decision-making.

This includes working with raw CSV files, SQL databases, and exported marketplace or CRM data that is often incomplete, inconsistent, or unstructured.

My focus is on making data usable and reliable for analysis by fixing quality issues, standardizing formats, and building structured tables that can be queried or used in reports.

Typical work includes:

Cleaning and organizing raw e-commerce datasets

Writing SQL queries for data extraction and transformation

Handling missing values, duplicates, and inconsistent formats

Preparing datasets for dashboards or further analysis

Creating structured outputs for reporting and business use

The goal is simple: turn messy data into something structured, consistent, and ready for analysis.