Smit Topiwala
• MS in Data Science graduate from University of Alabama at Birmingham.
• I am passionate about building impactful data products and learning the best coding practices for data science.
• Solid background in Python programming, statistics, and machine learning algorithms.
• Interested in Data Engineer/Data Science/Data Analytics/Business Research Analyst/Market research Analyst opportunities.
Detail Information about the Project
Project description: The main reason to analyze the data of global superstore perfomance is to find out if the product made loss or profit in the market.If it was a profit/loss then in which sector and what was the main reason behind it. Global Super Store is a data set which has a lot of values. Its a customer centric data set , which has the data of all the orders that have been placed through different vendors and markets.
You can view final version of Global superstore perfomance dashboards by clicking on link below:
Dashboard 3
Dashboard 4
1. Countries making Profit
2. Profits By year
3. Shipping Details
4. Countries with more discount
5. Top 10 profit making products
6. Profits by category
For more details see global superstore perfomance Analysis.