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Sigmoid Data Science Associate Interview Questions and Answers

Updated 26 Sep 2024

Sigmoid Data Science Associate Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Sep 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Easy to Medium Leetcode Questions

Round 2 - One-on-one 

(2 Questions)

  • Q1. Explain the projects that you have done.
  • Ans. 

    I have worked on projects involving predictive modeling, natural language processing, and machine learning algorithms.

    • Developed a predictive model to forecast sales for a retail company

    • Implemented sentiment analysis using NLP techniques on customer reviews

    • Utilized machine learning algorithms to classify spam emails

  • Answered by AI
  • Q2. Resoning Question

Interview questions from similar companies

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

Logical reasoning, deduction reasoning

Round 2 - Technical 

(2 Questions)

  • Q1. Basic DSA leetcode easy and medium , arrays and hashmaps and LRU cache
  • Q2. SQL queries and DBMS questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Revise DBMS and SQL and it is required
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is RDD and how its different from DF and Datasets
  • Ans. 

    RDD stands for Resilient Distributed Dataset and is the fundamental data structure of Apache Spark.

    • RDD is a distributed collection of objects that can be operated on in parallel.

    • DataFrames and Datasets are higher-level abstractions built on top of RDDs.

    • RDDs are more low-level and offer more control over data processing compared to DataFrames and Datasets.

  • Answered by AI
  • Q2. What is Partitioning and how to use colease and repartition
  • Ans. 

    Partitioning is the process of dividing data into smaller chunks for better organization and processing in distributed systems.

    • Partitioning helps in distributing data across multiple nodes for parallel processing.

    • Coalesce is used to reduce the number of partitions without shuffling data, while repartition is used to increase the number of partitions by shuffling data.

    • Example: coalesce(5) will merge partitions into 5 pa...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. What is Spark and explian its architecture
  • Ans. 

    Spark is a distributed computing framework that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

    • Spark has a master-slave architecture with a driver program that communicates with a cluster manager to distribute work across worker nodes.

    • It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.

    • Spark supports various programming l...

  • Answered by AI
  • Q2. What is DAG? how a spark job works how the dag gets created
  • Ans. 

    DAG stands for Directed Acyclic Graph. It is a finite directed graph with no cycles.

    • DAG is a collection of nodes connected by edges where each edge goes from one node to another, but no cycles are allowed.

    • In the context of Spark, a DAG represents the sequence of transformations that need to be applied to the input data to get the final output.

    • When a Spark job is submitted, Spark creates a DAG of the transformations spe...

  • Answered by AI

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Mar 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Random forest, time series analysis.

Interview Preparation Tips

Interview preparation tips for other job seekers - Concepts must be thorough.

Sigmoid Interview FAQs

How many rounds are there in Sigmoid Data Science Associate interview?
Sigmoid interview process usually has 2 rounds. The most common rounds in the Sigmoid interview process are Coding Test and One-on-one Round.

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Sigmoid Data Science Associate Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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