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I applied via Company Website and was interviewed in Aug 2024. There were 3 interview rounds.
Flexibility of time to work is important for work-life balance and productivity.
Flexibility allows for better work-life balance, leading to higher job satisfaction and productivity.
It enables employees to work during their most productive hours, resulting in better quality work.
Flexibility can also accommodate personal commitments and emergencies, reducing stress and improving overall well-being.
Examples: Remote work o...
Business Analysts need a combination of technical, analytical, and communication skills to gather and analyze data, identify trends, and present findings to stakeholders.
Strong analytical skills to interpret data and identify trends
Excellent communication skills to present findings to stakeholders
Technical skills to work with data analysis tools and software
Problem-solving skills to address business challenges
Attention...
I was interviewed before Apr 2022.
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I applied via LinkedIn and was interviewed in Sep 2024. There was 1 interview round.
Joins are used in SQL to combine rows from two or more tables based on a related column between them.
Joins are used to retrieve data from multiple tables based on a related column
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
INNER JOIN returns rows when there is at least one match in both tables
LEFT JOIN returns all rows from the left table and the matched rows from the right table
RIGHT JOIN re...
Use Excel functions like VLOOKUP or INDEX/MATCH to derive results from SQL queries in Excel.
Use VLOOKUP function to search for a value in a table and return a corresponding value from another column.
Use INDEX/MATCH function to perform a two-way lookup by matching values in two different ranges.
Import SQL query results into Excel using data connection or copy-paste method.
I applied via Naukri.com and was interviewed in Oct 2024. There was 1 interview round.
I have worked on various projects including data analysis, process improvement, and system implementation.
Led a team in analyzing sales data to identify trends and opportunities for growth
Implemented a new CRM system to streamline customer interactions and improve efficiency
Collaborated with stakeholders to map out current processes and identify areas for improvement
Created detailed documentation outlining project requ
Basis CAT like aptitude with 2 simple python coding question
The Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
States that the sampling distribution of the sample mean will be approximately normally distributed regardless of the shape of the population distribution
Helps in making inferences about the population mean based on the sample mean
Important concept in statistics and hypothesis...
I applied via Referral and was interviewed in Aug 2023. There were 3 interview rounds.
HackerRank OA on SQL. 3 questions, 1 Hour with webcam proctoring.
Question 1:
"""
1. The Good and The Bad City
There is a blood bank which maintains two tables: DONOR that contains information on the people who are willing to donate blood and ACCEPTOR, the people who are in need of blood. The bank wants to conduct a survey and find out the city that has the best and the worst donor sum amount/acceptor sum amount ratio. Both ratios are unique. That is, exactly one city has the best ratio and exactly one city has the worst ratio.
The donor sum amount is the total amount of blood, regardless of blood group, that people are ready to donate. The acceptor sum amount is the total amount of blood needed by that city.
There must be exactly two rows that denote the best and the worst ratios. The order of the rows does not matter. Each row must contain the following attributes:
1. The city's name (CITY).
2. The ratio ( donor sum amount / acceptor sum amount ), correct to 4 decimal places.
The schema of the two tables is given below:
Schema
DONOR
Name Type Description
ID Integer It is the ID of the donor.
NAME String It is the name of the donor.
GENDER Character It is the gender of the donor.
CITY String It is the city where the donor lives.
BLOOD_GROUP String It is the blood group of the donor.
AMOUNT Integer It is the amount of blood in pints, which the donator can donate.
ACCEPTOR
Name Type Description
ID Integer It is the id of the acceptor.
NAME String It is the name of the acceptor.
GENDER Character It is the gender of the acceptor.
CITY String It is the city where the acceptor lives.
BLOOD_GROUP String It is the blood group of the acceptor.
AMOUNT Integer It is the amount of blood in pints, which the acceptor needs.
Sample Data Tables
DONOR
ID NAME GENDER CITY BLOOG_GROUP AMOUNT
1 MARIA F Warne, NH AB+ 7
2 DOROTHY F East Natchitoches, PA AB+ 3
3 CHARLES M East Natchitoches, PA A- 6
4 DOROTHY F East Natchitoches, PA AB+ 9
5 MICHAEL M Warne, NH A+ 1
ACCEPTOR
ID NAME GENDER CITY BLOOG_GROUP AMOUNT
1 LINDA F Warne, NH A+ 9
2 CHARLES M Warne, NH AB+ 8
3 RICHARD M East Natchitoches, PA AB+ 3
4 LINDA F East Natchitoches, PA A+ 1
5 PATRICIA F Warne, NH A+ 5
Sample Output
East Natchitoches, PA 4.5000
Warner, NH 0.3636
Explanation
The amount of blood available for donation in East Natchitoches, PA is 3 + 6 + 9 = 18.
The amount of blood needed in East Natchitoches, PA is 3 +1 = 4.
Hence, the ratio is = ( 18 : 4 ) = 4.5000.
The amount of blood available for donation in Warne, NH is 1 + 7 = 8.
The amount of blood needed in Warne, NH is 9 + 8 + 5 = 22.
Hence, the ratio is = ( 8 : 22 ) = 0.3636.
"""
Question 2:
"""
2. Maximum Discount Product
A department store maintains data on customers, products, and purchase records in three tables: CUSTOMER, PRODUCT, and PURCHASE. The store manager wants to know which product is on maximum discount for each category. Write a query to print the following fields for each category, ordered by category, ascending: category, product ID and discount for the product that has the maximum discount in the category. In the case of multiple products having same maximum discount within a category, print the product with minimum product_id.
Table Schema
CUSTOMER
Name Type Description
CUSTOMER_ID Integer A customer's ID in the inclusive range [1, 500]. This is a primary key.
CUSTOMER_NAME String A customer's name. This field contains between 1 and 100 characters (inclusive).
CITY String A city name. This field contains between 1 and 50 characters (inclusive).
STATE String A state name. This field contains between 1 and 50 characters (inclusive).
PRODUCT
Name Type Description
PRODUCT_ID Integer A product's ID in the inclusive range [1, 500]. This is a primary key.
PRODUCT_NAME String A product's name. This field contains between 1 and 50 characters (inclusive).
CATEGORY String A category name of the product. This field contains between 1 and 50 characters (inclusive).
PRICE Integer The price of the product in the inclusive range [500, 1000].
DISCOUNT Integer The discount associated with the product in the inclusive range [5, 20].
AVAILABLE Integer The availability of a product. It is 1 if the product is available or it is 0 if the product is not available.
PURCHASE
Name Type Description
ID Integer An id associated with a purchase that is done in the inclusive range [1, 1000]. This is a primary key.
CUSTOMER_ID Integer A customer ID. This is a foreign key to customer.customer_id.
PRODUCT_ID Integer A product ID. This is a foreign key to product.product_id.
PURCHASE_DATE Date The date associated with a purchase. The date falls in the range '2000-01-01' to '2000-12-31' (inclusive).
'
Sample Case 0
Sample Input for Custom Testing
CUSTOMER
CUSTOMER_ID CUSTOMER_NAME CITY STATE
1 Pickett Wilhelm Park SD
2 Pickett Ipswich AZ
3 Poole Farwell KS
4 Pollard Bent Pine WV
5 Phelps Momford Landing VA
PRODUCT
PRODUCT_ID PRODUCT_NAME CATEGORY PRICE DISCOUNT AVAILABLE
1 P-1 C-5 720 10 1
2 P-2 C-1 935 17 1
3 P-3 C-2 588 19 1
4 P-4 C-4 619 5 0
5 P-5 C-1 803 16 1
PURCHASE
ID CUSTOMER_ID PRODUCT_ID PURCHASE_DATE
1 5 5 2000-06-04
2 1 5 2000-11-24
3 1 3 2000-10-02
4 5 1 2000-08-06
5 5 3 2000-06-22
6 3 1 2000-06-30
7 2 5 2000-01-10
8 2 1 2000-07-26
9 3 5 2000-09-23
10 4 5 2000-09-02
11 3 2 2000-05-25
Sample Output
C-1 2 17
C-2 3 19
C-4 4 5
C-5 1 10
Explanation
By referring to the sample data above, we find that:
For category C-1, there are two products P-2 and P-5 with discount 17 and 16 respectively. So the maximum discount is for product P-2 which is 17.
For category C-2, there is only one product P-3 with discount 19, so this is the product with maximum discount in this category.
For category C-4, there is only one product P-4 with discount 5, so this is the product with maximum discount in this category.
For category C-5, there is only one product P-1 with discount 10, so this is the product with maximum discount in this category.
"""
Question 3:
"""
3. Increase in Population
You are provided with the records of births and deaths during the course of years. Their records consist of a year and a type, either 'birth' or 'death'. Determine the year(s) when the population is highest versus the starting population. Return the year and the amount of the increase in population. If there is a tie, return the earliest of them.
Schema
You are provided 1 table: records.
records
Name Type Description
id int The unique id of a record.
type char(5) The type of record (birth/death).
year int The year in which the birth/death happened.
Sample Data Tables
records
id type year
2187 birth 2002
9941 death 2001
4361 birth 2003
6477 death 2001
3478 birth 2005
9719 death 2005
7292 birth 2002
4931 death 2005
5833 birth 2002
9379 death 2001
3472 birth 2003
5580 death 2003
4472 birth 2002
5915 death 2004
2624 birth 2003
5223 death 2005
7198 birth 2002
5384 death 2001
7660 birth 2004
5302 death 2005
5192 birth 2003
2537 death 2003
5260 birth 2003
7218 death 2004
2726 birth 2002
3856 death 2002
6594 birth 2003
9013 death 2005
4657 birth 2001
1782 death 2005
9744 birth 2004
5149 death 2001
2054 birth 2003
7423 death 2003
7156 birth 2002
2956 death 2001
3273 birth 2001
3721 death 2002
9756 birth 2002
6632 death 2003
OUTPUT
year count
2003 5
Explanation
year count cumulative
2001 -4 -4
2002 6 2
2003 3 5
2004 0 5
2005 -5 0
The highest cumulative increase in population is in the years 2003 and 2004. Return the earlier of the two, so the output is:
2003 5
"""
I will highlight the benefits of commission, ads, and discounts to the restaurant owner, showcasing how it can increase their revenue and customer base.
Emphasize the potential increase in revenue through commission from increased orders.
Highlight the visibility and brand awareness that ads can bring to the restaurant.
Explain how offering discounts can attract new customers and retain existing ones.
Provide case studies ...
I applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.
Use SQL query with ORDER BY and LIMIT to find 3rd highest salary.
Use SELECT statement to retrieve salary column
Use ORDER BY clause to sort salaries in descending order
Use LIMIT 2,1 to skip first two highest salaries and retrieve the third highest salary
I applied via Naukri.com and was interviewed before Jul 2023. There were 3 interview rounds.
I was asked with SQL querying questions.
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