Exploratory Data Analysis (EDA) of Amazon Sales data using Python (Pandas, Seaborn) to identify pricing trends and customer sentiment.

Exploratory Data Analysis (EDA) on Amazon sales data using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn to uncover trends and insights in orders, revenue, and product performance.

A complete exploratory data analysis of Amazon product sales, prices, ratings, and customer reviews. Includes data cleaning, preprocessing, visualizations, and insights using Python (Pandas, NumPy, Matplotlib, Seaborn). Built as a beginner‑friendly data analysis project.

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Using Python and EDA, this project analyzes Amazon sales data to optimize performance. Insights drive strategies like seasonal promotions, targeted marketing, and inventory management, enhancing sales and customer engagement effectively.

End-to-end Python data analysis of 50,000 Amazon sales orders — cleaning, EDA, visualization and business insights using Pandas, NumPy, Seaborn and Matplotlib.

Amazon Sales Intelligence Project: Python Data Analysis & Optimization A Python-based analysis of Amazon sales data using Pandas, NumPy, Matplotlib, and Seaborn. The project focuses on data cleaning, EDA, and uncovering trends by product size, category, and customer segment to inform inventory and marketing strategies.

End-to-end data analysis project on Amazon e-commerce sales data using Python, SQL, and Power BI. Includes data generation, EDA, SQL insights, and interactive dashboard.

End-to-end Amazon Sale Report project featuring web scraping with Python, data cleaning and exploratory data analysis (EDA), and interactive Power BI dashboard creation for sales insights.

An exploratory data analysis (EDA) project on Amazon sales data using Python. This project leverages libraries like Pandas, Matplotlib, and Seaborn to clean, analyze, and visualize key sales trends and insights in the e-commerce space

Amazon sales forecasting and inventory optimization project. Includes data cleaning, EDA, and time-series modeling using Facebook Prophet. Implements ABC Analysis in Python to categorize products and improve supply chain efficiency.

Amazon Sales Data Analysis project focused on data cleaning, exploratory data analysis (EDA), and visualization using Python libraries to uncover pricing, discount, rating, and category-level insights for e-commerce decision-making.

Built an end-to-end sales analytics pipeline using Python and MySQL to ingest, analyze, and visualize Amazon Global Superstore data, extracting KPIs and business insights through EDA and Power BI dashboarding.

"Amazon India Sales Dashboard developed using Python (EDA) and Power BI. Includes data cleansing, trend identification, best-selling products, geographic performance, and fulfillment metrics on a 3-page interactive dashboard for effective business decision-making."

In my first project as a Data Analyst Intern with Unified Mentor Pvt. Ltd., I focused on analyzing Amazon sales data to enhance sales management strategies. Embracing Python's Pandas and Matplotlib, I performed comprehensive data cleaning and conducted exploratory data analysis (EDA) to extract valuable insights.

Amazon Sales EDA with Python

A full end-to-end Python EDA project on an Amazon sales dataset — uncovering revenue trends, category performance, regional insights, discount impact, customer behaviour, and variable relationships using pandas, matplotlib, and seaborn.

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Amazon Sales Analysis Python Pandas EDA

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This analysis explored 50,000 Amazon sales transactions spanning January 2022 to November 2023, covering six product categories across four global regions. The dataset included pricing, discounts, quantity sold, and total revenue. Key metrics, trends, and relationships were examined to surface actionable business insights.

Amazon Sales - Clean, EDA, Sentiment Analysis Using Python

The purpose of this project is to analyze the sales of amazon in order to gain insights about the popularity of different types of products along with the states majorly contributing in the sales. This project involves the use of libraries like numpy, pandas, matplotlib and seaborn

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This EDA project analyze amazon sales using python and PostgreSQL

EDA on Amazon E-Commerce Sales Data using Python, Pandas & Matplotlib

EDA on Amazon E-Commerce Sales Data using Python, Pandas & Matplotlib