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I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
I led a project to implement a new customer relationship management system for a large retail company.
Conducted initial research to identify the best CRM system for the company's needs
Collaborated with IT team to customize the system to fit the company's requirements
Developed a training program for employees to ensure successful adoption of the new system
Managed the implementation process and monitored progress to ensu...
I have experience writing SQL queries for data analysis and reporting purposes.
Use SELECT statement to retrieve data from database tables
Use WHERE clause to filter data based on specific conditions
Use JOIN clause to combine data from multiple tables
Use GROUP BY clause to group data based on specific columns
Use ORDER BY clause to sort data in ascending or descending order
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I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.
Rank assigns unique ranks to each distinct value, while Dense Rank assigns consecutive ranks to each distinct value.
Rank does not skip ranks when there are ties, while Dense Rank does
Rank will have gaps in ranks if there are ties, while Dense Rank will not
Rank function is used to assign a unique rank to each distinct row, while Dense Rank function is used to assign consecutive ranks to each distinct row
On their new product launch was given 2-4 days for completion
Basic questions based on Sql
I was interviewed in Oct 2023.
Python, SQL, Quant, Statistics, Numpy
I applied via Recruitment Consulltant and was interviewed before Feb 2023. There were 3 interview rounds.
The Windows function in SQL is used to perform calculations on a specific subset of rows in a result set.
The Windows function is used with the OVER clause to define the subset of rows to perform calculations on.
Common Windows functions include ROW_NUMBER, RANK, DENSE_RANK, and NTILE.
Example: SELECT ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS row_num FROM employees;
First there will be an assignment.
I applied via Company Website and was interviewed before Jun 2022. There were 6 interview rounds.
8 SQL questions with increase in complexity and 1 case study
I chose Swiggy for its innovative technology, market leadership, and growth potential.
Swiggy's cutting-edge technology in the food delivery industry stood out to me
The company's strong market presence and leadership position were appealing
I was impressed by Swiggy's rapid growth and expansion in the market
Swiggy's customer-centric approach and focus on quality service were values I admired
based on 1 interview
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