Using VBA Macros, we will determine if setting up a business would be profitable 15 years down the line, subject to 9 inputs, each associated with a certain uncertainty (pun intended!) using Monte Carlo simulation.
Analyze and optimize the cost and profitability of a food delivery service using Python. This project includes data cleaning, cost breakdown, revenue calculation, and strategic recommendations to enhance profitability.
This project analyzes retail footwear sales data from 2017 to 2024 to identify trends, optimize inventory, refine pricing strategies, and improve operational efficiency. By applying data cleaning, exploratory analysis, and forecasting, it provides actionable recommendations for seasonal demand planning, profitability, and product performance.
This project analyzes data , focusing on key metrics such as total sales, profit, year-over-year growth, and regional performance. The dashboard visualizes insights related to help identify sales drivers and opportunities for optimization. Recommendations are provided based on the analysis to enhance sales strategies and improve profitability.
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In this capstone project, I analyzed a company's inventory and sales data to produce a report using Power BI and Tableau with my findings. I also designed a ranking system that would classify items in Excel by their Gross Margin Return on Investment values.
This repository contains a Power BI dashboard designed to analyze Amazon's global sales performance. It provides dynamic, interactive visualizations of sales by region, segment, and customer, helping to uncover insights and guide data-driven business decisions.
Data-Driven Insights for Seasonal Menu Alchemy: Profits, Segmentation, Trends, and Testing
A web-based Sales Analysis System designed to provide insights into sales performance. Features include daily sales tracking, sales vs labor analysis, trend reports, and forecasts. Built with React, .NET, and MS-SQL for real-time data visualization and actionable reports to optimize sales strategies.
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