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

I am a mechanical engineer with over 12 years of experience. My expertise lies in product auditing and data anysing.

The given Study and dataset is a valuable resource for anyone interested in analyzing pizza sales data. It can be used to investigate a variety of questions about pizza orders and sales, such as:• What are the most popular pizzas?• When are the busiest times of day for pizza orders?• What are the most popular delivery locations?• What are the most popular payment methods?• How does the weather affect pizza sales?The dataset can be analyzed using Excel or other data analysis tools. The specific methods and techniques used will depend on the specific questions being asked.A thorough analysis of the dataset can provide valuable insights into the pizza industry. This information can be used to make better decisions about marketing, pricing, and operations.The goal of this project was to provide a useful tool for analyzing pizza sales data. The dataset and methodology described in this report can be used to answer a variety of questions about pizza orders and sales. By doing a thorough analysis of the data, businesses can gain valuable insights that can be used to improve their operations and increase their profits.Note:-Data analyze from source <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://www.kaggle.com/datasets/mysarahmadbhat/pizza-place-sales">https://www.kaggle.com/datasets/mysarahmadbhat/pizza-place-sales</a>.

Analyzing Pizza Sales Data to Identify "pizza preferences" and "seasonal trends" "to improve your pizza sales".

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Pizza Sales: A Closer Look at the Numbers

Analyzing Pizza Sales Data to Identify "pizza preferences" and "seasonal trends" "to improve your pizza sales".