🧹 Data Cleaning & ETL

This section showcases my ability to clean, transform, and prepare raw data for analysis. From handling missing values and outliers to automating data pipelines using tools like Excel, Python, and SQL, each project here demonstrates practical ETL (Extract, Transform, Load) workflows that ensure high-quality, analysis-ready datasets.

Sales Data Analysis – BIA Inc.

Conducted data integrity checks and applied SQL transformations for accurate reporting.

Agricultural Sustainability Analysis

Performed extensive data cleaning and transformation in R Studio before applying statistical models.

Customer Segmentation using Excel

Organized raw customer data for segmentation using filtering, pivot tables, and formula-based transformations.