A visually interactive AI-powered sales forecasting dashboard using Streamlit, Plotly, and Python. Visualize KPIs, trends, and export filtered data with ease.

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Builds a full pipeline for retail sales forecasting using Prophet and EDA techniques. Includes data ingestion, cleaning, profitability analysis, and actionable recommendations. Features a Streamlit dashboard for insights and a FastAPI backend for deployment.

An automated business intelligence dashboard built using Python, Streamlit, and Machine Learning for data visualization and sales prediction.

A real-time CDC (Change Data Capture) simulation dashboard using SQLite to mimic ETL pipelines and visualize live sales data. Built with Streamlit and Plotly, includes multi-user login support.

This repository contains an interactive data visualization dashboard built using Streamlit, designed to explore and analyze the "Superstore" dataset. The dashboard allows users to upload their own dataset or use a default one to explore various sales metrics and insights.

This project is an interactive data analytics and machine learning dashboard built using Streamlit and the Superstore dataset. It provides dynamic visual insights into sales performance and enables users to predict profitability of transactions using a trained machine learning model.

This is an interactive data analytics dashboard built with Python and Streamlit, using Brent Superstore dataset. This project provides real-time business insights through visualizations like sales trends, regional performance, profit analysis, customer segments, and discount impact.

Sales analytics dashboard using Streamlit, Python, and Plotly.

Amazon Sales Data Analysis Dashboard using Plotly and Streamlit.

Sales Analytics Dashboard built using python, Streamlit, Pandas and Plotly

E-commerce sales data analysis project using Python, SQL and Streamlit dashboard.

End-to-end retail sales analytics pipeline using Python, SQL, and Streamlit dashboard.

A real-time data visualization dashboard for Zomato sales analysis using Streamlit and Python.

📊 A Streamlit-powered interactive sales dashboard using Superstore data. Visualize KPIs, trends, top products, and category-wise sales.

AI-Powered Sales Forecasting Dashboard (Future Interns ML Task 1) using Python, SARIMA, and Streamlit.

Premium E-commerce Sales Analytics Dashboard using Streamlit, Pandas & Plotly with real-time filtering and insights

Interactive Sales Data Analysis Dashboard built using Python, Streamlit, and Plotly with KPI metrics and UI.

Skyline Sales Dashboard A Streamlit-based interactive dashboard for analyzing product, category, and seasonal revenue trends using Python and Excel data.

Developed an interactive Sales & Revenue Dashboard using Streamlit, Pandas, and Matplotlib to analyze sales performance, revenue trends, and top-selling products across regions

Sales Insight Dashboard (Data Analytics Project) Built an interactive sales analytics dashboard using Python, Pandas, and Streamlit. Visualized key metrics by region, product category, and month using Plotly charts for actionable insights.

A complete, interactive regional sales dashboard built using Streamlit, Pandas, and Plotly. Allows filtering by date range, region, and product category.

E-commerce Sales Analysis – A complete project analyzing e-commerce sales trends using Python, Pandas, Plotly & Streamlit. Includes an interactive dashboard, Jupyter Notebook analysis, and business insights reports.

GenAI-assisted automation pipeline for sales analytics using Python, MySQL, and Streamlit with an interactive dashboard for revenue, product, and regional insights

End-to-end sales price prediction system using multiple machine learning regression models, hyperparameter tuning, data visualization, and an interactive Streamlit dashboard.

An interactive Streamlit dashboard analyzing Adidas US sales data (2020–2021). The project explores sales trends, profitability, regional performance, and product insights using dynamic filters, time-series analysis, and visualizations built with Python, Pandas, Plotly and, Streamlit.

This project involves creating an interactive sales and performance analysis dashboard for an online store using Streamlit and Pandas. The dashboard allows users to filter data, visualize sales metrics, and analyze performance across various dimensions.

Advanced Consumer Basket Analysis with Dashboard & Forecasting A data analytics project using Python, Streamlit, and Prophet to analyze supermarket sales. Includes customer segmentation (KMeans), interactive dashboard visualizations, profitability insights, and a 30-day sales forecast.

Using Python -Streamlit- to create a Webapp sales dashboard, also using a bit of HTTP for the web application and CSS for a better layout style.

This project uses historical retail sales data to perform exploratory analysis, build product-level forecasting models, and present insights via an interactive dashboard using Streamlit.