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Markytics Data Scientist Interview Questions and Answers
Markytics Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Company Website and was interviewed before Jun 2023. There were 2 interview rounds.
They have provided a CSV file with the problem statement statement, i had to do all data preprocessing, data analysis, visualisation things bases on that data
(2 Questions)
- Q1. What is supervised vs Unsupervised learning
- Ans.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.
Supervised learning requires a target variable for training the model.
Unsupervised learning finds patterns and relationships in data without a specific target variable.
Examples of supervised learning include regression and classification tasks.
Examples of unsupervised learning include clustering and dimensionality re
- Q2. Explain how decision tree works
- Ans.
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
Decision tree splits data into subsets based on the value of a certain attribute
It continues to split the subsets until a stopping criterion is met
Each internal node represents a decision based on an attribute, each branch represents the outcome of that decision, and each leaf node represents the final d...
Interview Preparation Tips
Skills evaluated in this interview
Interview questions from similar companies
Sayantan Ghosh
Interview Questionnaire
1 Question
- Q1. What friends think of you?
- Ans.
My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
Interview Preparation Tips
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.
Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.
College Name: NIT Durgapur
Interview Preparation Tips
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?
Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.
Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Total 3 rounds. 1st round is purely on programming ability on Python and SQL. Simple to algorithmic level. Binary search, recursive querying. 2nd round was on understanding the candidate and his/her work e...
Interview Preparation Tips
I applied via Referral and was interviewed in Dec 2022. There were 3 interview rounds.
Coding test of 2 hours ,include model building
(1 Question)
- Q1. First Project explanation and in between that ask for project related questions and also asked basic ml to advance ml questions
Interview Preparation Tips
I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.
First round - coding assessment
Interview Preparation Tips
- Statistics concepts
- regression
- Classification
Hacker rank python and SQL coding test
(1 Question)
- Q1. Project experience related questions
Was given a case study to solve for
SQL, Python and Apti ques
(2 Questions)
- Q1. Have given Python question to print a pattern
- Q2. Some ML algo questions
(1 Question)
- Q1. Why u are looking for job change
- Ans.
Seeking new challenges and growth opportunities in a different environment.
Looking for new challenges to enhance my skills and knowledge
Seeking growth opportunities that align with my career goals
Interested in exploring different work environments and cultures
I applied via Company Website and was interviewed before Jul 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Basic ml questions
- Q2. Scenario and resume based questions
Python string manupulation questions
Interview Preparation Tips
Python questions moderate to difficult
(2 Questions)
- Q1. Introduction about self
- Ans.
I am a data scientist with a background in statistics and machine learning.
I have a Master's degree in Data Science from XYZ University.
I have experience working with Python, R, and SQL for data analysis.
I have worked on projects involving predictive modeling and data visualization.
I am passionate about using data to drive business decisions and solve complex problems.
- Q2. Python basics like list, dictionary
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Markytics Data Scientist Interview Process
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