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Swiggy Data Scientist 2 Interview Questions and Answers for Experienced

Updated 7 Mar 2024

Swiggy Data Scientist 2 Interview Experiences for Experienced

1 interview found

Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Mar 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Resume project related questions
Round 2 - Technical 

(1 Question)

  • Q1. Have you used ranking algorithms? If yes, explain about any approach of ranking products for search
  • Ans. 

    Yes, I have used ranking algorithms. One approach is to use collaborative filtering to recommend products based on user preferences and behavior.

    • Collaborative filtering is a common approach for ranking products in search based on user behavior and preferences

    • It involves analyzing user interactions with products to make personalized recommendations

    • Examples include recommending products similar to those previously purcha

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Explain any recent research paper

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Basic Apititude Questions

Round 2 - Technical 

(2 Questions)

  • Q1. Difference between WHERE and HAVING??
  • Ans. 

    WHERE is used to filter rows before grouping, HAVING is used to filter groups after grouping.

    • WHERE is used with SELECT statement to filter rows based on a condition

    • HAVING is used with GROUP BY statement to filter groups based on a condition

    • WHERE is applied before data is grouped, HAVING is applied after data is grouped

    • Example: SELECT * FROM table WHERE column = 'value'

    • Example: SELECT column, COUNT(*) FROM table GROUP B

  • Answered by AI
  • Q2. Where- Row Level Filters Having-Aggregate Filters
  • Ans. 

    Row level filters are applied before aggregations, while aggregate filters are applied after aggregations.

    • Row level filters are used to filter individual rows of data before any aggregations are performed.

    • Aggregate filters are used to filter the aggregated results after the data has been grouped and summarized.

    • Row level filters are typically applied using WHERE clause in SQL, while aggregate filters are applied using H...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Why do you wanna join Uber?
  • Q2. Best Company Ever

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare SQL and Excel and Basic Python

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Campus Placement and was interviewed before Aug 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

The aptitude questions were bit easy and there were questions about SQL, and also excel sheets.

Round 3 - Technical 

(1 Question)

  • Q1. Questions about sql

Interview Preparation Tips

Topics to prepare for Uber Data Analyst interview:
  • SQL
  • Excel
Interview preparation tips for other job seekers - Practice well for the interview and put best projects in resume
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Feb 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

Approx 30 questions which are to be solved in 1 hour. Questions include logical and mathematical questions along with basic ML and stats questions

Round 2 - Technical 

(1 Question)

  • Q1. Basic questions related to Python and SQL
Round 3 - Technical 

(1 Question)

  • Q1. Advance SQL questions and 1 case study
Round 4 - Stakeholder Round 

(1 Question)

  • Q1. Basic ML questions and Business acumen questions
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Nov 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Questions from arrays and strings and some aptitude questions

Round 2 - One-on-one 

(2 Questions)

  • Q1. How to merge 2 csv files
  • Ans. 

    To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.

    • Open both CSV files in a software like Microsoft Excel.

    • Copy the data from one CSV file and paste it into the other CSV file.

    • Save the merged CSV file with a new name.

    • Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.

  • Answered by AI
  • Q2. Basic questions on arrays
Round 3 - HR 

(1 Question)

  • Q1. 3 reasons why u choose this company
  • Ans. 

    I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.

    • Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

    • Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

    • Company culture - I value a positive work environment and the...

  • Answered by AI
Round 4 - Technical 

(1 Question)

  • Q1. Questions on python

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Nov 2023. There were 2 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Tell me about yourself
Round 2 - One-on-one 

(1 Question)

  • Q1. Why do you think you are suitable for this job?
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Basic questions based on Sql

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well for SQL
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jun 2023. There were 3 interview rounds.

Round 1 - Coding Test 

It was basic MCQ related to Javascript

Round 2 - One-on-one 

(1 Question)

  • Q1. Asked basic questions related to array and SQL
Round 3 - HR 

(1 Question)

  • Q1. Asked question to test the business context
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

It was easy consisting of sql and excel questions

Data Analyst Interview Questions & Answers

Meesho user image Abhilasa Barman

posted on 26 Dec 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

I was asked a medium-level SQL question that involved the RANK function.

Swiggy Interview FAQs

How many rounds are there in Swiggy Data Scientist 2 interview for experienced candidates?
Swiggy interview process for experienced candidates usually has 3 rounds. The most common rounds in the Swiggy interview process for experienced candidates are Technical.
How to prepare for Swiggy Data Scientist 2 interview for experienced candidates?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Swiggy. The most common topics and skills that interviewers at Swiggy expect are Python, SQL, Data Analysis, Industry Research and Logistics.
What are the top questions asked in Swiggy Data Scientist 2 interview for experienced candidates?

Some of the top questions asked at the Swiggy Data Scientist 2 interview for experienced candidates -

  1. Have you used ranking algorithms? If yes, explain about any approach of ranking...read more
  2. Explain any recent research pa...read more

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Swiggy Data Scientist 2 Interview Process for Experienced

based on 1 interview

Interview experience

5
  
Excellent
View more

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