Amazon sales and customer review analytics using Python, Pandas, Seaborn, Matplotlib, and NLP.
#Amazon Sales Data Analysis This project analyzes the sales data of Amazon to identify trends and patterns... # Heart Disease Analysis This project investigates heart disease data to predict the likelihood of heart disease using various machine learning algorithms...
Amazon Sales data analytics using python
Turning raw Amazon sales data into actionable insights — a Python-driven analysis of sales trends, demand, and profitability.
Causal Analysis on Amazon Sales Data
Power BI project analyzing Amazon sales trends, profitability, regional performance, and product category insights.
The Amazon Sales Data dataset contains transactional records of products sold on Amazon, including order details, product categories, quantities, prices, and shipping information. It helps analyze sales trends, customer behavior, and product performance for data visualization and predictive modeling.
Amazon Sales Dashboard built during internship at Innobyte Services. Data cleaned with Python, stored in MySQL, and visualized in Power BI to analyze sales performance, customer behavior, fulfilment, and geographical insights.
End-to-end Data Science project on Amazon Sales. Features data cleaning, EDA, outlier detection, and predictive modeling using Python, Pandas, and Scikit-learn.
Amazon Sales Analysis using Excel — Pivot Tables, Heatmaps, Sparklines & Dashboard
📊 This project involves analyzing Amazon sales data to uncover key business insights and provide recommendations for improving sales performance. The analysis is performed using Microsoft Excel, leveraging various tools such as pivot tables, charts, and advanced formulas for data-driven insights.
Dynamic Power BI dashboard to visualize and analyze Amazon sales data.
Interactive Power BI dashboard analyzing Amazon sales performance, revenue trends, category insights, and top-selling products.
Analyzing Amazon's sales data to uncover key business insights and trends. The analysis explores sales performance, customer behavior, and product trends across regions by leveraging Python and its powerful libraries. It provides recommendations to enhance decision-making and optimize business strategies.
Analyze a dataset of Amazon Sales to provide deep insights into industry patterns that will assist us in identifying viable business prospects and learn more about customer happiness, common challenges, and ways to improve the customer experience
Simple Sales Dashboard Design
Interactive Amazon Sales Analysis Dashboard using Python, SQL, and Power BI to uncover sales trends, profitability, and business insights.
Amazon Sales Data Visualization
Power BI dashboard analyzing Amazon sales data
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