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e-commerce-analytics

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Praveendinesha / Sales-Insights-Analysis_E-Commerce

Star 10

Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.

data-visualization business-intelligence power-query dax predictive-analytics sales-analysis sales-forecasting dax-expression power-bi-dashboard dax-query e-commerce-analytics decision-making-tools
  • Updated Jan 8, 2024

AAlkiyumi / Senior-Design-Project

Star 3

Web scraper for collecting product and review data from e-commerce sites using Scraping Bee, AWS, Selenium, and Pandas. Focuses on cost-effective solutions, user-friendly interfaces, and efficient data extraction and analysis.

aws data-storage selenium pandas web-scraping data-extraction uc data-analysis data-processing product-reviews web-crawlers university-of-cincinnati e-commerce-analytics scraping-bee senior-design-project e-commerce-data review-sentiment-analysis uc2026 cs5001
  • Updated Apr 4, 2025
  • Python

Hamdaan-P / EDA

Star 1

Comprehensive EDA Portfolio showcasing data analysis expertise across diverse domains including e-commerce, healthcare, real estate, retail, and finance. This repository demonstrates proficiency in Python, data visualization, statistical analysis, and business intelligence using real-world datasets from Kaggle.

python data-science exploratory-data-analysis jupyter-notebook financial-modeling data-analysi real-estate-analysis healthcare-analytics retail-analytics e-commerce-analytics
  • Updated Oct 27, 2025
  • Jupyter Notebook

ThakkarVidhi / rfm-customer-segmentation

Star 0

Segment Sphere is a customer segmentation tool using RFM analysis to group customers based on recency, frequency, and monetary value. It processes e-commerce data, provides actionable insights, and visualizes results with interactive charts. Ideal for understanding customer behaviour and supporting data-driven decisions.

machine-learning data-visualization interactive-charts kmeans-clustering customer-behavior customer-segmentation rfm-analysis clustering-models customer-analysis e-commerce-analytics data-processing-and-analysis
  • Updated Jan 20, 2025
  • HTML

ayomide-stack / Clustering-A-K-Means-and-Gaussian-Mixture-Model-Approach.-

Star 0

Unsupervised clustering analysis of online shopper behaviour using K-Means and Gaussian Mixture Models (GMM) on the UCI Online Shoppers Purchasing Intention dataset.

python data-science machine-learning data-mining clustering scikit-learn exploratory-data-analysis pca unsupervised-learning customer-segmentation behavioral-analysis e-commerce-analytics k-means-gaussian-mixture-model-gmm
  • Updated Dec 19, 2025
  • Jupyter Notebook

Abdullah321Umar / DataZenixSolutions_DataAnalytics-Project2

Star 0

🔸 Customer Segmentation Analysis 🔸 Performed Customer Segmentation Analysis on an e-commerce dataset using clustering techniques (K-Means). Cleaned, explored, and visualized customer data to uncover spending patterns and demographic insights. Delivered actionable insights for targeted marketing strategies and customer retention.

scikit-learn eda descriptive-statistics kmeans-clustering elbow-method silhouette-score matplotlib-seaborn data-storytelling customer-profiling e-commerce-analytics clustering-concepts visualization-storytelling marketing-strategy-insights
  • Updated Sep 3, 2025
  • Jupyter Notebook

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