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I applied via Campus Placement and was interviewed in Sep 2024. There were 2 interview rounds.
Class 11-12 basic questions and aptitude questions, was conducted on google forms, total 40 questions
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I applied via campus placement at Visvesvaraya National Institute of Technology (VNIT), Nagpur and was interviewed in Jul 2024. There were 2 interview rounds.
It was an easy type of aptitude test
I have worked on developing machine learning models for predicting customer churn in a telecom company.
Developed machine learning models using Python and scikit-learn
Preprocessed and cleaned large datasets to improve model performance
Implemented various algorithms such as Random Forest and Gradient Boosting
Evaluated model performance using metrics like accuracy, precision, and recall
SQL is a programming language used for managing and manipulating databases.
SQL stands for Structured Query Language.
It is used to communicate with databases to perform tasks like querying data, updating data, and creating tables.
Common SQL commands include SELECT, INSERT, UPDATE, DELETE.
SQL is used in various database management systems like MySQL, PostgreSQL, and Oracle.
Knowledge of SQL is essential for data analysis
Creating pandas series in Python.
Import the pandas library: import pandas as pd
Create a series using a list: data = ['a', 'b', 'c'] series = pd.Series(data)
Create a series with custom index: data = {'a': 1, 'b': 2, 'c': 3} series = pd.Series(data)
DSA stands for Data Structures and Algorithms. It is used to store and manipulate data efficiently.
DSA is essential for solving complex problems efficiently in software development.
It helps in organizing and managing data effectively.
Common DSA include arrays, linked lists, stacks, queues, trees, graphs, etc.
Examples of DSA usage include searching algorithms like binary search, sorting algorithms like quicksort, and da
I applied via LinkedIn and was interviewed in Oct 2024. There was 1 interview round.
Basic aptitude test testing concepts such and PL, speed, clocks, patterns etc
TransOrg Analytics interview questions for popular designations
Scenario Base Data Science Question and business understanding
I applied via LinkedIn and was interviewed in Aug 2023. There were 2 interview rounds.
Normalization in SQL is the process of organizing data in a database to reduce redundancy and improve data integrity.
1NF (First Normal Form) - Each column in a table must contain atomic values, and there should be no repeating groups.
2NF (Second Normal Form) - Table should be in 1NF and all non-key attributes are fully functional dependent on the primary key.
3NF (Third Normal Form) - Table should be in 2NF and there sh...
Alter is used to modify the structure of a table, while update is used to modify the data in a table.
Alter is used to add, remove, or modify columns in a table.
Update is used to change the values of existing records in a table.
Alter can change the structure of a table, such as adding a new column or changing the data type of a column.
Update is used to modify the data in a table, such as changing the value of a specific
Use left join for computationally efficient way to find customer names from customer profile and transaction tables.
Use left join to combine customer profile and transaction tables based on customer id
Left join will include all customers from profile table even if they don't have transactions
Subquery may be less efficient as it has to be executed for each row in the result set
Using self join to analyze customer behavior in an e-commerce platform.
Identifying patterns in customer purchase history
Analyzing customer preferences based on past purchases
Segmenting customers based on their buying behavior
Use SQL query with window function to rank members by transaction amount in each city.
Use SQL query with PARTITION BY clause to group members by city
Use ORDER BY clause to rank members by transaction amount
Select the second highest member for each city
CTE is a temporary result set that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement. It is different from a Stored Procedure as it is only available for the duration of the query.
CTE stands for Common Table Expression and is defined using the WITH keyword.
CTEs are mainly used for recursive queries, complex joins, and simplifying complex queries.
CTEs are not stored in the database like Stored Proce...
List comprehension is a concise way to create lists in Python by applying an expression to each item in an iterable.
Syntax: [expression for item in iterable]
Can include conditionals: [expression for item in iterable if condition]
Example: squares = [x**2 for x in range(10)]
Lambda function is a serverless computing service that runs code in response to events and automatically manages the computing resources required.
Lambda functions are event-driven and can be triggered by various AWS services such as S3, DynamoDB, API Gateway, etc.
They are written in languages like Python, Node.js, Java, etc.
Lambda functions are scalable and cost-effective as you only pay for the compute time you consum...
A generator function is a function that can pause and resume its execution, allowing it to yield multiple values over time.
Generator functions are defined using the 'function*' syntax in JavaScript.
They use the 'yield' keyword to return values one at a time.
Generators can be iterated over using a 'for...of' loop.
They are useful for generating sequences of values lazily, improving memory efficiency.
Transformation in pyspark is lazy evaluation while Actions trigger execution of transformations.
Transformations are operations that are not executed immediately but create a plan for execution.
Actions are operations that trigger the execution of transformations and return results.
Examples of transformations include map, filter, and reduceByKey.
Examples of actions include collect, count, and saveAsTextFile.
Map applies a function to each element in a collection and returns a new collection. Flatmap applies a function that returns a collection to each element and flattens the result.
Map transforms each element in a collection using a function and returns a new collection.
Flatmap applies a function that returns a collection to each element and flattens the result into a single collection.
Map does not flatten nested collecti...
Broadcast Variables are read-only shared variables that are cached on each machine in a cluster for efficient data distribution.
Broadcast Variables are used to efficiently distribute large read-only datasets to all nodes in a Spark cluster.
They are useful for tasks like joining a small lookup table with a large dataset.
Broadcast variables are cached in memory on each machine to avoid unnecessary data shuffling during c
I applied via IIM Jobs and was interviewed in Nov 2022. There were 5 interview rounds.
Sql queries and python related code
I applied via campus placement at Malviya National Institute of Technology (NIT), Jaipur and was interviewed before Jul 2023. There were 3 interview rounds.
Basic Apri quest for campus recruitment
I applied via LinkedIn and was interviewed in Apr 2022. There were 3 interview rounds.
It consists of arithmetic, logical reasoning, verbal, data interpretation questions
Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
Normalization involves breaking down a table into smaller tables and defining relationships between them.
There are different levels of normalization, including first normal form (1NF), second normal form (2NF), and third normal form (3NF).
1NF involves eliminating duplicate columns and creating a primary key.
2NF...
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