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To perform reconciliation using SQL and excel
Reasoning questions and some sql question
Handle date different date formats by standardizing them using a common format
Identify all the different date formats present in the dataset
Convert all dates to a common format (e.g. YYYY-MM-DD)
Use libraries like pandas in Python to parse and standardize dates
Handle missing or incorrect dates by setting them to a default value
I applied via Naukri.com and was interviewed in Mar 2024. There were 6 interview rounds.
Case assignment after you clear round 1
I applied via Job Portal and was interviewed in May 2024. There were 4 interview rounds.
There was a 1 hour sql test consisting of 4 sql coding questions. The questions were easy to moderate.
It was a 1 hour DI test consisting of 17 questions. The questions were easy.
The co-founder took the interview for about 30 mins. It was a case study about the number of cylinders in a particular city.
I applied via Referral and was interviewed in May 2024. There were 5 interview rounds.
Youll get hacker rank link for sql test pretty decent questions from leetcode and hackerrank were asked like easy ones
Technical round questions based on sql
Computer aptitude and aruthmetic aptitude were asked
Indexes are data structures that improve the speed of data retrieval operations in databases.
Indexes are used to quickly locate data without having to search every row in a database table.
They are created on columns in a database table to speed up SELECT queries.
Examples of indexes include primary keys, unique keys, and non-unique indexes.
ETL stands for Extract, Transform, Load. It is a process used to extract data from various sources, transform it into a usable format, and load it into a data warehouse.
Extract: Data is extracted from different sources such as databases, files, APIs, etc.
Transform: Data is cleaned, formatted, and transformed into a consistent structure.
Load: The transformed data is loaded into a data warehouse for analysis and reportin...
Yes, I am familiar with regex and have experience using it for data analysis.
Regex stands for regular expressions and is used for pattern matching in text data
It allows for searching, extracting, and manipulating text based on specific patterns
Example: using regex to extract email addresses from a dataset
Osfin.ai interview questions for designations
I applied via Recruitment Consulltant and was interviewed in Feb 2024. There were 2 interview rounds.
SQL related questions
1 hours SQL questions and resume questions
Based on sql data and excel file
Top trending discussions
I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur and was interviewed in Nov 2024. There were 2 interview rounds.
It consists of resume-based skill questions.
I want to join ICICI Bank because of its strong reputation in the banking industry and the opportunities for growth and development it offers.
ICICI Bank is one of the leading banks in India with a strong reputation for innovation and customer service
I am impressed by ICICI Bank's focus on technology and digital banking solutions
I believe that working at ICICI Bank will provide me with opportunities for career growth an...
I have worked on projects involving data analysis for marketing campaigns, customer segmentation, and sales forecasting.
Developed predictive models to optimize marketing strategies
Utilized clustering techniques for customer segmentation
Built time series models for sales forecasting
I applied via Naukri.com and was interviewed in May 2024. There were 3 interview rounds.
Average type questions.
I applied via Recruitment Consulltant and was interviewed in Mar 2024. There were 2 interview rounds.
Python Leetcode Question they ask
I applied via Naukri.com and was interviewed in Oct 2023. There were 4 interview rounds.
Create the table for consolidated.sql and enter the records as specified in it.
Close attention to what other's are saying.This shows respect for their opinions and allows you to build on or respond to their points.
Asking for clarification shows engagement and interest in the conversation.
Asking for clarification demonstrates active listening and a desire to fully understand the topic.
It can also help clarify any misunderstandings or uncertainties, leading to more productive discussions.
Examples: 'Could you please explain that concept in more detail?' or 'I'm not sure I understand, could you provide an example?'
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