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Tiger Analytics Machine Learning and Python Developer Interview Questions and Answers

Updated 20 Oct 2024

Tiger Analytics Machine Learning and Python Developer Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - One-on-one 

(5 Questions)

  • Q1. Previous Projects
  • Q2. Technical Knowhow
  • Q3. Questions related to Model Deployment
  • Q4. Questions related to model training and optimization
  • Q5. ZQuestions related to Azure
Round 2 - Coding Test 

Some questions related to the File Handling, NLP Pipeline, Model Deployments

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Coding Test 

Python coding oops a1b3h5 to abbbhhhhh
pandas numpy sql questions basic to intermediate

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

I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Shifts the zeros to right
  • Ans. 

    Shift all zeros in an array to the right while maintaining the order of non-zero elements.

    • Iterate through the array and move all non-zero elements to the front of the array.

    • Fill the remaining elements with zeros.

    • Maintain the relative order of non-zero elements.

  • Answered by AI
  • Q2. What is decorator?
  • Ans. 

    A decorator is a design pattern in Python that allows adding new functionality to an existing object without modifying its structure.

    • Decorators are denoted by the @ symbol followed by the decorator function name.

    • They are commonly used to modify or extend the behavior of functions or methods.

    • Decorators can be used for logging, timing, authentication, caching, etc.

    • Example: @staticmethod, @classmethod, @property

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer expecting same answer what he have in his mind

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Past project related questions
  • Q2. Python and sql queries
Round 2 - Coding Test 

Waiting for l2 round

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

Simple python programming concepts

Round 2 - Technical 

(2 Questions)

  • Q1. Basic System design of inter service communication in transactional systems.
  • Ans. 

    Inter service communication in transactional systems involves designing a reliable and efficient way for services to communicate and exchange data.

    • Use asynchronous messaging systems like RabbitMQ or Kafka to decouple services and ensure reliable message delivery.

    • Implement RESTful APIs for synchronous communication between services, using HTTP methods like GET, POST, PUT, DELETE.

    • Consider using gRPC for high-performance,...

  • Answered by AI
  • Q2. Loading and processing a file with huge data volume
  • Ans. 

    Use pandas library for efficient loading and processing of large files in Python.

    • Use pandas read_csv() function with chunksize parameter to load large files in chunks.

    • Optimize memory usage by specifying data types for columns in read_csv() function.

    • Use pandas DataFrame methods like groupby(), merge(), and apply() for efficient data processing.

    • Consider using Dask library for parallel processing of large datasets.

    • Use gen...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is List Comprehension
  • Ans. 

    List comprehension is a concise way to create lists in Python by iterating over an existing list or iterable.

    • Syntax: [expression for item in iterable]

    • Can include conditions: [expression for item in iterable if condition]

    • Can be nested: [[i*j for j in range(1, 4)] for i in range(1, 4)]

    • Can be used to create new lists from existing lists efficiently

  • Answered by AI
  • Q2. What are the types of Serializers in Django
  • Ans. 

    Types of Serializers in Django include ModelSerializer, Serializer, and HyperlinkedModelSerializer.

    • ModelSerializer: Used to serialize Django model instances.

    • Serializer: Generic serializer class for custom data serialization.

    • HyperlinkedModelSerializer: Includes hyperlinks to related resources in the serialized data.

  • Answered by AI

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Create linkedList
  • Ans. 

    A linked list is a data structure consisting of nodes where each node points to the next node in the sequence.

    • Create a Node class with data and next pointer

    • Create a LinkedList class with methods like insert, delete, search

    • Example: Node class - class Node: def __init__(self, data): self.data = data self.next = None

  • Answered by AI
  • Q2. Basic to advance python

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare data structure

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Aug 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. 1. What are decorators
  • Ans. 

    Decorators are functions that modify the behavior of other functions without changing their source code.

    • Decorators are denoted by the '@' symbol followed by the decorator function name.

    • They can be used to add functionality to a function, such as logging or timing.

    • Decorators can also be used to modify the behavior of a class or method.

    • They are commonly used in web frameworks like Flask and Django.

    • Examples of built-in de...

  • Answered by AI
  • Q2. 2. What is Namespace in Python
  • Ans. 

    Namespace is a container that holds identifiers (names) used to avoid naming conflicts.

    • Namespace is created at different moments and has different lifetimes.

    • Python implements namespaces as dictionaries.

    • There are four types of namespaces in Python: built-in, global, local, and non-local.

    • Namespaces can be accessed using the dot (.) operator.

    • Example: 'import math' creates a namespace 'math' that contains all the functions

  • Answered by AI
  • Q3. Write Algorithm for Soduku
  • Ans. 

    Algorithm to solve Sudoku puzzle

    • Create a 9x9 grid to represent the puzzle

    • Fill in known numbers

    • For each empty cell, try numbers 1-9 until a valid number is found

    • Backtrack if no valid number can be found

    • Repeat until all cells are filled

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn about Soduku before appearing for interview

Skills evaluated in this interview

Interview Questionnaire 

3 Questions

  • Q1. Find all occurrences and it's count into given string?
  • Ans. 

    The answer to the question is a Python function that finds all occurrences of a given substring in a string and returns the count.

    • Use the `count()` method to find the count of occurrences of a substring in a string.

    • Iterate through the string and use slicing to check for occurrences of the substring.

    • Store the occurrences and their counts in a dictionary or a list of tuples.

  • Answered by AI
  • Q2. Shallow copy and Deep copy in Python Difference ? how to use?
  • Ans. 

    Shallow copy and Deep copy in Python Difference and how to use?

    • Shallow copy creates a new object but references the original object's memory address

    • Deep copy creates a new object with a new memory address and copies the original object's values

    • Shallow copy can be done using slicing, copy() method, or the built-in list() function

    • Deep copy can be done using the deepcopy() method from the copy module

    • Shallow copy is faster...

  • Answered by AI
  • Q3. Update tuple in list of tuples ? can we update? How about tuple of lists
  • Ans. 

    Yes, we can update a tuple in a list of tuples. However, tuples are immutable, so we need to create a new tuple.

    • To update a tuple in a list of tuples, we can convert the tuple to a list, update the desired element, and then convert it back to a tuple.

    • For example, if we have a list of tuples called 'list_of_tuples' and we want to update the second tuple, we can do: list_of_tuples[1] = tuple(updated_list)

    • Similarly, we ca...

  • Answered by AI

Skills evaluated in this interview

I applied via LinkedIn and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Python basics, one DSA question, DNS lookup process in full detail, GIL, memory management in python, copy vs deepcopy

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough with your python knowledge, web frameworks, memory management in Python and networking concepts especially DNS lookup process

Tiger Analytics Interview FAQs

How many rounds are there in Tiger Analytics Machine Learning and Python Developer interview?
Tiger Analytics interview process usually has 2 rounds. The most common rounds in the Tiger Analytics interview process are One-on-one Round and Coding Test.
What are the top questions asked in Tiger Analytics Machine Learning and Python Developer interview?

Some of the top questions asked at the Tiger Analytics Machine Learning and Python Developer interview -

  1. Questions related to model training and optimizat...read more
  2. Questions related to Model Deploym...read more
  3. Technical Know...read more

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