Data Analyst at MakeMyTrip | SQL | Power BI | Tableau | MS Excel | Python | Excel | Python

Neeraj Sharma  • Peerlist

Data Analytics professional at Schenider Electric having 2+ years of experience with Excel,SQL, Python,Tableau

Airbnb Reviews and ratings analysis The Conclusion➢ Paris has the highest instant bookable in the whole city by a Huge Margin at 64690 (23 %),followed by New York at 37012 (13 %), at bottom Hong Kong at 7087(3%)➢ From the result we can see that bedroom, review scores ratings and review scorescleanliness plays, price plays an important role in the influence of price, As we look at Paris,it has the most bedrooms with good ratings and also it has a low price on it at 113 andlowest be from Rome at 105➢ The highest booking of rooms is done around July, June &amp; October months.➢ Rome offers the best value to travel as it has the lowest price range on it only at 105 It alsohas the Best ratings with a low price on itDo you h

2 AirBNB Reviews and Ratings

Pizza Place Sales<ol><li>An overview of pizza sales data from Jan 2015 to Dec 2015 is given in this report. To find trends and patterns in pizza sales.</li><li>According to data on monthly pizza sales, there are seasonal variations in sales, with some months having lower sales than others. The project may explore possible causes of these variations, such as seasonal factors, promotional activity, or modifications in consumer behavior.</li><li>The breakdown of pizza sales during the morning, afternoon, and evening hours is seen in the data on sales by time of day. The project could study how this breakdown differs by category and whether there are chances to boost sales at particular times of the year.</li><li>Last but not least, information on pizza sales by category offers insight on the most well-liked pizza varieties among consumers. The project might look into customer demographics, pizza preference patterns, and possible markets for fresh pizza selections.</li><li>The overall goal of the Pizza Sales Project seems to be to better understand pizza sales trends and locate chances to increase sales through the use of data analysis. The project may include suggestions for marketing and promotion plans, adjustments to the menu, or other techniques designed to boost sales and promote business expansion.</li></ol>