data engineering

1. Capstone Project
Group 7
Time Series Dataset (Data Engineering)
Members:
 Jamesh Bomble (Analyst)
 Namrata Majumdar (Analyst)
 Krishna C (Management Trainee)
 Akhil Inala (Management Trainee)
 Nikhil Sangwan (Management Trainee)

2. About Project:
Company: Dean's Domain: Retail and Supply Chain
It's a large web e-tailor chain that sells different types of
products nationally.
It has different shipping services via different types/modes
of transportation.
The data mainly focuses on order details, shipping details,
discount provided, sales and profit earned.
Challenge: Create a marketing strategy that is both
consistent at the company level but can also support
variations by category, product, region, and customer type.

3. Data Description
City_Master – City_master table contains City name and
corresponding City code
Postal_Code_Master – This table contains postal code
with respect to city code
Region_Master – Region names with respect to the
region codes are provided in this table
Region_State_Mapping – Region Code is mapped with
State Code in this table
State_Master – This table contains State names and
state code
Store – Transactional data with respect to the store is
provided in this table

4. Checkpoint 1
Checkpoint 2
Checkpoint 3
Checkpoint 4
Timeline

5. Analysis in
Python

6. Check for missing values in the dataset
Code
Output

7. Code
Output
Find out the outliers in numerical columns

8. Code
Output
Product Category with highest and lowest sales

9. Code
Output
The category of the product which is being sold with highest discounts

10. Code
Output
Percentage share of sales at every region

11. Code
Output
Percentage share of sales at every state

12. Snowflake
Results

13. Display The category name of the products that earns highest profit
Code
Output

14. Display Most valuable customer name who has frequently ordered products
Code
Output

15. Display The segment and product name which yields highest profit
Code
Output

16. Display name of the City with highest sales
Code
Output

17. Display Percentage share of profit of every region
Code
Output

18. Display Percentage share of sales at every state
Code
Output

19. Display the Category of the product with highest demand in each region
Code
Output

20. Thank You