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Synechron Data Scientist Interview Questions and Answers

Updated 31 May 2023

Synechron Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(3 Questions)

  • Q1. Questions on Python datatypes, class, object, inheritance,
  • Q2. Machine learning algorithms
  • Ans. 

    Machine learning algorithms are used to train models on data to make predictions or decisions.

    • Supervised learning algorithms include linear regression, decision trees, and neural networks.

    • Unsupervised learning algorithms include clustering and dimensionality reduction.

    • Reinforcement learning algorithms involve learning through trial and error.

    • Examples of machine learning applications include image recognition, natural l

  • Answered by AI
  • Q3. Sql queries and python coding questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Related to project

Skills evaluated in this interview

Interview questions from similar companies

Data Scientist Interview Questions & Answers

LTIMindtree user image Abhishek Srivastav

posted on 16 Mar 2015

Interview Questionnaire 

3 Questions

  • Q1. Code For parse Traingle
  • Ans. 

    Code for parsing a triangle

    • Use a loop to iterate through each line of the triangle

    • Split each line into an array of numbers

    • Store the parsed numbers in a 2D array or a list of lists

  • Answered by AI
  • Q2. Asci value along with alphabets(both capital and small)
  • Ans. 

    The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

    • ASCII values range from 65 to 90 for capital letters A to Z.

    • ASCII values range from 97 to 122 for small letters a to z.

    • For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

  • Answered by AI
  • Q3. Would you like to go for Hire studies

Interview Preparation Tips

Round: Test
Experience: First round was through Elitmus.
If you want to be in IT industry must appear it atleast once, for core also u can try it.
It's usually a tough exam but if u are good in maths , apti you will crack it.
Tips: Focus more on Reasoning part. this is the most difficult part.
practise paragraphs reading and solving(Average level)(Infosys level or less)
If you need any kind of help you can contact me via email or can even ring me.
I would recomend everybody to appear this exam with minimum of one month dedicated preparation
Duration: 120 minutes
Total Questions: 60

Round: Coding Round on their own plateform
Experience: It was little difficult to write codes on some other plateform. But time was enough to cope up.
Tips: Try writing as many programs you can write in C, C++ and JAVA not on paper, on compiler . while giving this exam you can select any of these three languages. Based on that your technical Interview will be taken.

Round: Technical Interview
Experience: Its easy one if you have hands on on programing
Tips: Explore and explore .

Round: HR Interview
Experience: Most difficult round for me(I feel myself a little weak in English). But stay calm. And be cheerful.
I still don't know the exact answer of the question but conversation gone for about 20 minutes on this topic.
He din't seem satisfied with me. Btw most of the people says to say no. You can take your call according to the situation.
Tips: Stay calm. Have as much Knowledge about the organisation. Try to make your Intro as much interesting as possible with achivements, hobbies etc. Ya English plays most important role here.

General Tips: Always have faith in yourself. And remember Everything happens for some good reason
Skill Tips: Dont go deep in OS, DBMS but have rough idea about all the topics
Skills: C, C++, DATA STRUCTURE, DBMS, OS
College Name: GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
Motivation: I wanted a job. :)
Funny Moments: A number of stories are there related to this job.
One is I already had an offer so I booked my ticket to home from Bangalore But at very last moment my father told me that you should never miss any chance, go for it. I went and interview date was postponded due to some reasons. I got a mail at 10:30 pm saying I have to attend interview next day morning at 8:30 pm. I ran to get printout of that mail. The venue was 3 hour journey from my place so I din't sleep for the whole night because i knew that if I ll sleep, I would not be able to wake up But I din't studied also because it would have lead to sleep. And Without having sleep and last moment study I made it.

Skills evaluated in this interview

I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Explain about your projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer was looking for Data science experience in infrastructure that is building a solution for remedy ticket

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic pandas questions on dataframes
  • Q2. Some quiz questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Expect technical questions as well as moderate level coding questions

Round 2 - Technical 

(1 Question)

  • Q1. Data science and MLOps concepts
Round 3 - HR 

(1 Question)

  • Q1. Behavioral and managerial rounds
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. About your project and experience
Round 3 - Coding Test 

Core Python questions were asked

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What kind of project you worked
  • Ans. 

    I have worked on projects involving predictive modeling, natural language processing, and computer vision.

    • Predictive modeling: Developed machine learning models to predict customer churn for a telecom company.

    • Natural language processing: Built a sentiment analysis tool to analyze customer reviews for a retail company.

    • Computer vision: Implemented a facial recognition system for access control in a secure facility.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer not in mood of listen. When he asked question he didn't even wait for answer and ask another question. Some kind of confused person I guess.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Python coding questions followed by machine learning , deep learning algorithms

Synechron Interview FAQs

How many rounds are there in Synechron Data Scientist interview?
Synechron interview process usually has 3 rounds. The most common rounds in the Synechron interview process are Resume Shortlist, Technical and One-on-one Round.
How to prepare for Synechron Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Synechron. The most common topics and skills that interviewers at Synechron expect are Machine Learning, Python, Data Science, SQL and Agile.
What are the top questions asked in Synechron Data Scientist interview?

Some of the top questions asked at the Synechron Data Scientist interview -

  1. Machine learning algorit...read more
  2. Questions on Python datatypes, class, object, inheritan...read more
  3. Sql queries and python coding questi...read more

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Synechron Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Synechron Data Scientist Salary
based on 57 salaries
₹3 L/yr - ₹9.5 L/yr
62% less than the average Data Scientist Salary in India
View more details

Synechron Data Scientist Reviews and Ratings

based on 6 reviews

4.4/5

Rating in categories

3.8

Skill development

4.4

Work-life balance

4.2

Salary

3.9

Job security

3.9

Company culture

3.8

Promotions

4.0

Work satisfaction

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