A modularized SDK library for Amazon Selling Partner API (fully typed in TypeScript)

Analyse the customer purchase behaviour to optimize inventory cost

Implementation of a d3.js Visual Analytics dashboard for Sales Analysis and Customer Segmentation in Retail

Solution to Quantium Virtual Internships on Forage

This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.

Tasks performed under Data Science and Business Analytics internship by Sparks Foundation.

Exploring Market Basket Analysis and Using Data Driven Insights to Make store layouts

Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.

Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.

Implementation of Exploratory Data Analysis on Supermarket Sales Data with MySQL Workbench

Retail Analytics in Shopping Malls

This project looks at the sales pattern of a product category in a retail store, using the store’s transaction dataset and identifying customer purchase behavior, to generate insights and recommendations.

Analyse the customer purchase behaviour to optimize inventory cost

A comprehensive project on data analysis, model building, and visualization to understand customer purchase trends.

Open source commerce analytics and resources to bring powerful insights to life.

Data base structure for retail analyzes project

The project provides the Apriori algorithm and Market Basket Analysis (MBA) to analyze transactional data, generating personalized recommendations based on Support, Confidence, and Lift metrics to enhance customer experience and boost sales.

Leveraging advanced data analysis techniques, this project is strategically designed to contribute to business success by delivering insightful visualizations, accurate sales forecasting, and actionable information.