You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Analytical CRM with Tasks management, Email marketing and many more. Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ✨
Welcome to the Sales Data Analysis & Forecasting project! 🚀 This repository showcases my data analysis skills through exploratory data analysis (EDA), data cleaning, and visualization of sales and customer feedback data. The goal is to extract actionable insights to drive business decisions.
This repository conducts a sales analysis for Company XYZ, exploring the reasons behind declining sales and suggesting strategies for improvement. Analyzing 12 months of data, it uncovers the best sales month, top-selling city, optimal advertisement timing, frequently sold together products, and the best-selling item.
A comprehensive Python project for sales data analysis, including data preprocessing, customer segmentation, cohort analysis, and market study. Visualize trends by day, month, and region to uncover actionable business insights and improve decision-making. Suitable for retail businesses looking to optimize performance.
This project analyzes Walmart's sales data by leveraging Python for data exploration and cleaning, followed by in-depth analysis and KPI creation in Excel. Key sales metrics, such as sales growth rates and average transaction values, were derived using Excel formulas.
This Streamlit dashboard provides an interactive and comprehensive analysis of customer behavior, regional sales trends, and revenue insights. The dashboard enables businesses to identify key performance metrics, customer segments, and revenue drivers, supporting data-driven decision-making.
A Python application for analyzing customer orders, calculating monthly, product-wise, and customer-wise revenues, and identifying the top 10 customers by revenue.