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

A complete exploratory data analysis (EDA) and forecasting project focused on retail sales data. The project identifies key sales patterns, seasonal trends, and builds predictive models to forecast future demand at the item-store level.

A powerful eBay scraper built with Scrapy that extracts product listings, prices, seller data, and auction information from eBay marketplaces worldwide. Features anti-bot protection, price intelligence, multi-format export (CSV/JSON), and global eBay site support.

A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.

Python project for Market Basket Analysis. Generates synthetic retail transactions, mines frequent itemsets using Apriori & FP-Growth, derives association rules, and outputs CSVs + visualizations. Portfolio-ready example demonstrating data science methods for uncovering product co-purchase patterns.

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.

A Data Analysis project performing Exploratory Data Analysis (EDA) on Global Electronics' data to uncover insights that enhance customer satisfaction, optimize operations, and drive business growth.

DataSpark is a data analysis project using Python, SQL, and Power BI to analyze global electronics retail sales, focusing on customer behavior, sales performance, product profitability, and store performance to optimize sales strategies.

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

A synthetic digital twin of a retail supply chain network, simulating the optimization model annual refresh process used by large retailers (Home Depot, Walmart, Lowe’s, Amazon) to guide long-range supply chain investments and explore cost, service and scenario tradeoffs. [Website is frontend only, DB is stored locally in SQLite]

Solution to Quantium Virtual Internships on Forage

Analyse the customer purchase behaviour to optimize inventory cost

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.

AI-driven retail analytics platform with predictive inventory management, dynamic pricing, and marketing optimization for Walmart Sparkathon 2025

A full-stack web scraper for Flipkart products with Python FastAPI backend and Next.js frontend. Features real-time product extraction, advanced search/filtering, interactive UI, and MySQL database integration.

This project focuses on analyzing sales data from Blinkit, a leading grocery delivery service. Using a real-world dataset, I performed data cleaning in Excel and Power Query, followed by data visualization in Power BI. The result is a dynamic, interactive dashboard that provides KPIs in sales performances across different outlet types & locations.

💡Interactive Market Basket Analysis app for retail. Association rules, product recommendations and business strategies.

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