A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.
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Updated
Jul 17, 2025 - Jupyter Notebook
A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.
Exploratory analysis of the Online Retail dataset using Python, Pandas, and Matplotlib. Includes data cleaning, identification of missing and duplicate values, analysis of sales by country, customer and period, visualization of shopping patterns.
This project demonstrates ETL pipeline built using PySpark for processing of data, ingestion of raw data, transformed into start-schema stored in PostgreSQL and visualized in Power BI
Using a customer retail dataset, this project builds and compares Logistic Regression, Decision Tree, and KNN models — covering the full ML workflow from preprocessing to evaluation.
Machine Learning Classification Using Support Vector Classifier (SVC) on Retail Dataset
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