Data Mining project 2020/2021 @ University of Pisa

Embark on a thorough investigation as we navigate the transactional dataset of UCI, a non-store retail UK company, utilizing SQL queries and PowerBI visualization tools. This analysis empowers businesses with strategic insights for precise inventory management and sales planning in the coming year.

This is a code sample repository for online retail product recommendations using Collaborative Filtering (Memory-Based, aka History-Based). The source data used the famous Online Retail Data Set from UCI Machine Learning Repository.

code for kaggle OTTO competition (got silver medal)

RFM (Recency, Frequency, Monetary) Analysis on an Online Retail Customers using K-Means Clustering with Python

Online retail store website project.

This project leverages machine learning techniques to analyze online retail data through customer segmentation. It uses KMeans clustering to identify key customer groups and proposes tailored business strategies based on their purchasing behaviors.

Analyze product data for an online sports retail company to optimize revenue.

Mini Portfolio Analisis Penjualan pada sebuah Ritel Online

Online Retail Dashboard

ECOMMAPP is a robust and user-friendly eCommerce platform designed to provide a seamless online shopping experience. The application offers a wide range of products, easy navigation, and secure payment options, catering to both customers and merchants.

This project focuses on exploring product recommendations within the realm of luxury fashion resale. It serves as a companion to my thesis of the MSc Marketing Analytics program at TiU.

This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.

An online retail store end to end database application

Statistical analysis of the Online Retail II dataset using R. Includes data cleaning, EDA, hypothesis testing, and business insights with visualizations.

Ctmiabeauty product scraper

Analyze product data for an online sports retail company to optimize revenue by using SQL

Comprehensive data analysis on online retail data: customer segmentation, basket behaviour & cohort retention analysis

This project is a SQL-based Online Retail Database Management System, designed to store, manage, and analyze retail business data. It includes customer details, products, orders, and transactional records, enabling insightful data analysis through SQL queries.

Online Retail Store DBMS made using MySQL and Flask