The Allen Solly Store wants to create an annual sales report for 2022. So that, the owner of the Allen Solly store can understand their customers and grow more sales in 2023.

Verify data for any missing values and anomalies, and sort out the same.

Made sure data is consistent and clean with respect to data type, data format and values used.

Created pivot tables according to the questions asked.

Merge all pivot tables into one dashboard and apply slicer to make dashboard interactive and dynamic.

n this project, Investigate a dataset that carries approximate facts about restaurant chains all over the world. The project's main aim is to perform descriptive and statistical analysis based on a few goals designed.

The dataset provides information like an average cost for two, location, votes, the aggregate rating, cuisines, country, rating text, etc. Various analysis like the top cuisines, most expensive restaurants, average rating for each country, and many other analysis are performed on the dataset. The dataset's owner is Zomato and Kaggle is the source providing the data.

Analyse Diwali sales on the basis of different products, gender, state, age, occupation, and zone areas of the customers.

Improved Customer experience by identifying potential customers across different states, occupations, gender, and age groups.

Improved sales by identifying the most selling product categories and products, which can help to plan inventory and hence meet the demands.

In this Project, going to analyze the Swiggy Restaurants dataset collected from every city in India.

As Swiggy is one of the leading food delivery platforms with more than 100k restaurants listed all around India.

We will analyze this dataset available on Kaggle and draw some conclusions.

To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting.

Analysis Sales data to gain insights and create Interactive Sales Dashboard and also predict /Forecast the next sales with the use of Power-Bi.

Web scraping, or web data extraction is data scraping used for extracting data from websites using its HTML structure. Explore it with two Python libraries Beautifulsoup and requests respectively. Extracting data from the Forbes website of the top billionaires in 2023 can be easily accomplished by utilizing Python libraries.

Used libraries

Python3

requests

bs4(Beautifulsoup)

Predict the stock price of Dixon by using LSTM , Linear Regression and Build models.

In this task, I have to make a system that tells whether the person will be saved from sinking.