Naveen danu

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Hotel booking analysis using power bi

This project Hotel Booking Dashboard using Power BI, showcasing key metrics such as bookings, Average Daily Rate (ADR), customers, and detailed market segmentation insights.

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Regional sale Analysis using power bi

The regional sales report provides a comprehensive overview of sales performance across distinct geographic regions Central, West, South, and East.

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CENSUS ANALYSIs USING MYSQL

MySQL-based Census Analysis Project, where the power of queries unveils answers to a myriad of questions.

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Zepto sales analysis
excel

Presenting the Zepto's Sales Dashboard in MS EXCEL insightful overview of key sales metrics. Track Total Sales , analyze Year-over-Year Percentage Growth to identify trends, and spotlight Top Managers for a closer look at individual performance. The Top States feature helps optimize resources based on geographic insights .

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Railway dashboard
Power bi

The railway dashboard provides an overview of the railway system's performance, highlighting key metrics such as revenue, journey numbers, and peak travel times. The system generates €7,41,921 in revenue, with 29,773 journeys taken, although 1,880 were cancelled and 2,292 were delayed. Manchester Piccadilly and Birmingham New Street are the top departure and arrival stations, respectively. Railcard holders make up 33.91% of passengers, and Standard Class tickets are the most popular, accounting for 90.34% of sales. The peak travel time is between 7:00 AM and 9:00 AM, with a refund policy in place for delayed journeys, totaling €2830.

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E-Commerce Analysis
powerbi

The E-commerce analysis report for the year 2011 shows sales, units sold, purchases, number of products, average basket, customers, new and lost customers. The report provides a detailed analysis of sales and other metrics based on the time of day, date, and customer location. Key findings include peak sales and units sold in November 2011, an average basket size of 9.55, and a higher number of new customers compared to lost customers. This data can be used to improve the e-commerce business by identifying the best time to run promotions, targeting specific customer segments, and optimizing the website and marketing materials.