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1.β˜• Coffee Sales Dashboard (Excel) πŸ“„ Overview This project features an Excel dashboard designed to analyze coffee sales data. It provides visual insights into sales trends, top customers, and country-wise distribution, aiding in better understanding and decision-making.

πŸ“Š Dashboard Highlights:

Monthly Sales Trend: Line chart showcasing monthly coffee sales over the years. Top 5 Customers: Bar chart highlighting the top five customers based on sales. Country-wise Sales: Bar chart representing sales distribution across different countries.

2.πŸš΄β€β™‚οΈ Bike Sales Excel Dashboard πŸ“Š Project Overview This project involves analyzing bike sales data to uncover insights into customer purchasing behavior. The dashboard provides visual representations of key metrics, enabling stakeholders to make informed decisions.

πŸ› οΈ Tools Used: Microsoft Excel: For data cleaning, analysis, and visualization. Pivot Tables: To summarize and analyze data. Charts: Bar and line charts for visual representation. Slicers: For interactive data filtering.

🧹 Data Cleaning: Removed duplicates and irrelevant columns. ->Standardized categorical data (e.g., marital status, gender). ->Converted income data to currency format. ->Created age groups for analysis.

πŸ“ˆ Data Analysis & Visualization: ->Bar Chart: Showcasing income and gender distribution based on purchase status across Europe, North America, and the Pacific regions. ->Line Chart: Depicting purchase trends across different age groups. ->Line Chart: Illustrating the relationship between commute distance and bike purchases.

  1. πŸ“Š Vrinda Store Annual Sales Analysis (Excel Dashboard) Analyzed Vrinda Store's 2022 sales data using Excel, employing pivot tables and charts for insights. Findings reveal women constitute ~65% of purchases, with the 30–49 age group contributing ~50%. Top- performing states are Maharashtra, Karnataka, and Uttar Pradesh. Major sales channels include Amazon, Flipkart, and Myntra, accounting for ~80% of sales. Recommendations suggest targeting women aged 30–49 in these states through promotions on these platforms to enhance sales.

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