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I applied via campus placement at National Institute of Technology,(NIT), Agartala and was interviewed in Apr 2024. There were 4 interview rounds.
Apti was based on analytical skills
It was a fun GD which had the topic future app experiences.
Asked questions on guestimates and my analytical skills
I applied via LinkedIn and was interviewed in Jul 2023. There were 3 interview rounds.
Easy questions based on Logical Reasoning, Mathematics, English
Be sure to put your thoughts on the topic you get, and try to put a point that meets the goals or aspirations of the company.
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I applied via IIM Jobs and was interviewed before Nov 2021. There were 5 interview rounds.
Different types of Joins in SQL and the outputs when joining two tables with nulls.
Types of joins in SQL include inner join, left join, right join, and full outer join.
When joining two tables with nulls, the output depends on the type of join used.
In an inner join, null values are excluded from the result.
In a left join, all rows from the left table and matching rows from the right table are included, with nulls for no...
Yes, but it requires careful handling of data types and potential conversion.
Union can be performed on tables with different datatypes, but the resulting table will have a common datatype for each column.
Data types should be compatible, otherwise conversion may be necessary.
For example, a table with a column of integers can be unioned with a table with a column of floats, but the resulting column will be of type float.
...
PhonePe interview questions for designations
I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.
Sql, python, statistical questions
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
Reviewing and cleaning data sets
Creating visualizations and dashboards
Conducting statistical analysis
Communicating insights to non-technical stakeholders
Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
Excel is widely used for data manipulation and analysis.
Python and R are popular programming languages for data analysis and machine learning.
Tableau is a powerful data visualization tool.
SQL is essential for querying databases and extracting data.
4 sql tasks on 3 tables. Joins, subqueries
I applied via Instahyre and was interviewed in Aug 2024. There was 1 interview round.
It is difficult to accurately estimate the number of cricket bats sold in a year without specific data.
The number of cricket bats sold in a year can vary based on factors such as seasonality, popularity of cricket, and market trends.
One approach to estimate could be to consider the total population of cricket-playing countries and the average number of bats owned by players.
Another approach could be to look at the sale...
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.
I applied via Naukri.com and was interviewed in Jul 2024. There were 4 interview rounds.
Topics were, DSA, SQL, PL/SQL, Data Augmentation
Customer churn classification using a classification ML model
Bubble sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.
Start with the first element and compare it with the next element, swapping if necessary
Repeat this process for each pair of adjacent elements in the array until the entire array is sorted
Continue this process for each element in the array until no more swaps are ne
An API (Application Programming Interface) is a set of rules and protocols that allows different software applications to communicate with each other.
APIs define the methods for requesting and receiving data between software applications
APIs can be used to access data from external sources, such as social media platforms or weather services
Examples of APIs include the Twitter API, Google Maps API, and Spotify API
I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills and attention to detail
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