Maven Toys, a toy company is looking to expand their business with new stores. This is a sales performance analysis focused on analyzing interesting patterns and trends in their data to help them make informed decisions.

• UpdatedNov 30, 2023

Target is one of the world’s most recognized brands and one of America’s leading retailers.This business case has information of 100k orders from 2016 to 2018 made at Target in Brazil. Its features allows viewing an order from multiple dimensions.

• UpdatedJan 15, 2023
• Jupyter Notebook

Welcome to my GitHub repository! This repository contains the code and analysis for Sales Data that contains purchase on a products . Feel free to explore the code, visualizations, and insights.

• UpdatedOct 10, 2023
• Jupyter Notebook

As part of my MeriSkill virtual internship, the "Sales Data Analysis" project aims to analyze extensive sales data to uncover valuable insights that can drive business decisions.

• UpdatedAug 17, 2024

Successful ecommerce businesses need to optimize every stage of the customer journey, from first touch to purchase. This ecommerce dashboard is a curated set of metrics, KPIs and other data that’s designed to highlight, in the clearest possible way, trends, anomalies and information related to an online store that regularly warrants attention.

• UpdatedJan 15, 2023

This project aims to provide insights into various aspects of the business, such as sales performance, item types, outlet locations, and customer preferences.

• UpdatedAug 17, 2024

This project involves creating a dimensional data model using MySQL Workbench for a car repair shop’s operations in western Canada by examining a sample invoice,

• UpdatedSep 8, 2024

cleaning and analyzing sales data to show themain insights and metrics that can help the managers to take their decision using excel and power BI

• UpdatedJun 2, 2022

The Sales Analysis online tool is a powerful solution designed to provide comprehensive insights and analytics for sales teams and business leaders.

• UpdatedAug 25, 2023

• Identified Sales Trends Across Different States Over The Years. Analyzed The Different Metrics Like Sales, Customer Acquisitions, Total no. Of Orders For Each Year. • Extract Useful Data using SQL and Created Dashboard using Excel. • It Helps To Create Sales Strategy Across Different States in the Future. • Techstack : Excel | SQL | Power Point

• UpdatedFeb 15, 2023

The objective is to perform a comprehensive analysis of the provided Amazon order data and extract actionable insights.

• UpdatedJan 1, 2025

A comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality effects, demand fluctuations, holiday impacts, promotional activities, and competitive influences.

• UpdatedMay 27, 2024
• Jupyter Notebook

Power BI dashboard analyzing superstore sales trends and forecasting future sales

• UpdatedFeb 15, 2025

Analyzed retail sales data using MS SQL Server to uncover trends, optimize performance, and provide actionable business insights.

• UpdatedDec 29, 2024
• TSQL

This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily change it).

• UpdatedJun 23, 2024
• Python

superstore sales analysis using python

• UpdatedMay 6, 2023
• Jupyter Notebook

• UpdatedOct 29, 2023

Sales Insights - A Data Analysis Project performed on Tableau & SQL Topics

• UpdatedMar 16, 2023

Dive into the rhythm of sales data, where numbers dance and charts sing stories. Uncover the hidden melodies of trends, patterns, and outliers, orchestrating a symphony of insights for strategic harmony in business decisions. Let data be your muse, and analysis your art, as you navigate the colorful landscapes of sales exploration.

• UpdatedMar 23, 2024
• Jupyter Notebook

Analyze sales trends over time, discover peak days, and identify top-selling products driving business revenue. Perfect for EDA enthusiasts and coffee connoisseurs. ☕📈

• UpdatedDec 6, 2023
• Python