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Pickrr Interview Questions and Answers
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3 interviews found
Piyush Dayani
(1 Question)
- Q1. DSA and puzzle.
(1 Question)
- Q1. Reverse linked list in k groups
- Ans.
Reverse a linked list in groups of k nodes
Iterate through the linked list in groups of k nodes
Reverse each group of k nodes
Update the pointers accordingly
(1 Question)
- Q1. Projects, Q related to BFS & DFS, Coding question
(1 Question)
- Q1. Salary Discussion and Culture fit
Skills evaluated in this interview
Anonymous
I applied via Referral and was interviewed in May 2022. There were 2 interview rounds.
(2 Questions)
- Q1. Palindrome 2 leetcode questions
- Q2. Implement LRU cache.
- Ans.
LRU cache is a data structure that stores the most recently used items and discards the least recently used items.
Use a hash table to store key-value pairs
Use a doubly linked list to keep track of the order of items
When an item is accessed, move it to the front of the list
When the cache is full, remove the least recently used item from the back of the list
Lookup and insertion should be O(1) time complexity
Interview Preparation Tips
Skills evaluated in this interview
Interview Questionnaire
2 Questions
- Q1. How can you grow the client.
- Ans.
To grow a client, focus on building strong relationships, providing excellent customer service, and offering personalized solutions.
Regularly communicate with the client to understand their needs and concerns
Provide customized solutions that meet their specific requirements
Offer additional products or services that complement their existing ones
Provide exceptional customer service to build trust and loyalty
Regularly re...
- Q2. To get connected with him and share pre intematation to him for every thing so that he can make his mind for this and leave the things on you only. You should make a personal relationship with him. And thi...
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Interview questions from similar companies
I applied via Indeed and was interviewed before Jun 2019. There were 4 interview rounds.
Interview Questionnaire
3 Questions
- Q1. Business problems and case studies
- Q2. Guesstimates
- Q3. Experience to date
- Ans.
I have 3 years of experience working as a Data Analyst in the finance industry.
Analyzed financial data to identify trends and make recommendations
Created reports and dashboards using tools like Tableau and Excel
Collaborated with cross-functional teams to improve data quality and accuracy
Interview Preparation Tips
I applied via Recruitment Consultant and was interviewed in Aug 2019. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Basic Questions only, Oops concept, Android basic questions, work manager related, MVVM pattern, why kotlin?
Interview Preparation Tips
Ritik Gupta
Selected
I applied via LinkedIn and was interviewed in Aug 2023. There were 3 interview rounds.
Questions on python and SQL
(1 Question)
- Q1. With the hiring department
With the AVP of company
Selected
I applied via Referral and was interviewed before Mar 2023. There were 3 interview rounds.
50 question with gk and reasoning mcq
(1 Question)
- Q1. Introduction and prior exp
(1 Question)
- Q1. Question about escalastions and ptoblem sovling
Interview Preparation Tips
I applied via Internshala and was interviewed in Dec 2023. There were 2 interview rounds.
Easy to medium, can solve with leetcode medium
(2 Questions)
- Q1. Number of islands count
- Q2. First and last index of a particular element in an array
Skills evaluated in this interview
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
(4 Questions)
- Q1. Advance Excel (Vlookup, Index, Countifs, sumifs and others)
- Q2. Python Basics (data frame, data types, lamda, series etc)
- Q3. SQL Functions (joins, limits, partitions, orders by and group by)
- Q4. 3rd round was managerial round, where mostly non-technicial questions asked.
Interview Preparation Tips
I applied via Campus Placement
Hackerrank, sql and python questions
(2 Questions)
- Q1. Pivot tables in excel?
- Ans.
Pivot tables in Excel summarize and analyze data, allowing for dynamic data organization and insights.
Easily summarize large datasets by dragging and dropping fields.
Group data by categories, such as sales by region or product.
Use calculated fields to perform custom calculations, like profit margins.
Filter data to focus on specific segments, such as top-selling products.
Create visualizations like charts directly from p...
- Q2. Sql questions on joins and window functions
Skills evaluated in this interview
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