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GEP Worldwide Data Scientist Interview Questions and Answers
GEP Worldwide Data Scientist Interview Experiences
1 interview found
Saransh Goyal
Selected
I appeared for an interview in Apr 2023.
(1 Question)
- Q1. Questions related to data science
(1 Question)
- Q1. Questions related to data science
Interview Preparation Tips
Data Scientist Jobs at GEP Worldwide
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Anonymous
I applied via Naukri.com and was interviewed in Jun 2020. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. There were two rounds of interviews. Both technical. They actually touch base every topic by asking questions out of it. First round- Python fundamental questions on data structures and operations, scenar...
- Q2. Second round is mainly CV based project discussion. They would try to dig out on advanced concepts which could be bit mathematical. You can be honest and skip it rather than quoting it wrong.
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Apr 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Difference between probability density function and mass function
- Ans.
Probability density function is for continuous random variables while mass function is for discrete random variables.
Probability density function gives the probability of a continuous random variable taking a certain value within a range.
Mass function gives the probability of a discrete random variable taking a certain value.
Probability density function integrates to 1 over the entire range of the random variable.
Mass ...
Interview Preparation Tips
I applied via Referral and was interviewed in Aug 2022. There were 3 interview rounds.
(1 Question)
- Q1. What are the relevant projects in Data science & expertise in whatt all tools & technologies
- Ans.
Relevant projects in Data Science and expertise in tools and technologies
Projects: Predictive modeling, Natural Language Processing, Computer Vision, Recommender Systems, Time Series Analysis
Tools: Python, R, SQL, Tableau, Hadoop, Spark, TensorFlow, Keras, Scikit-learn
Technologies: Machine Learning, Deep Learning, Big Data, Cloud Computing, Data Visualization
(1 Question)
- Q1. He asked only coding question in Python & time duration is less & expectations are pretty unclear .
Interview Preparation Tips
- python
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Apr 2022. There were 3 interview rounds.
Interview Preparation Tips
Selected
I applied via Referral and was interviewed before Mar 2023. There were 2 interview rounds.
(1 Question)
- Q1. Python programming, basic linear regression and logistic regression
(1 Question)
- Q1. Linked list, dynamic programming questions
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
Selected
I applied via LinkedIn and was interviewed in Feb 2023. There were 6 interview rounds.
Platform HackerEarth
9 Questions
2 Coding Questions on Python based on Dynamic Programming
7 Questions MCQ on Data Science and SQL
(1 Question)
- Q1. Data Science Projects discussion Python Coding by sharing screen
(4 Questions)
- Q1. Data Science Projects Detailed Questions
- Q2. In Depth Knowledge on any one of your project.
- Q3. Cross Questioning on Regression, Classfication Problems. Dummy Variable Trap Statistics Questions
- Q4. Questions on Deep Learning Models working and architecture like RNN Exploding/Vanishing Gradient Problem, Solutions like LSTM, CNN model working and different terminologies used.
(1 Question)
- Q1. Again this round was pure Technical. All questions were on Data Science Projects and scenario based. 2 Questions on Probability and puzzle based.
(1 Question)
- Q1. Final Round Discussion about Company's Policies and Roles. Your Expectations from the company, the kind of role you are looking for and why Tiger.
Interview Preparation Tips
Be confident with your responses.
I applied via AmbitionBox and was interviewed in Jul 2023. There was 1 interview round.
(1 Question)
- Q1. Dicision Tree algorithm
- Ans.
Decision Tree algorithm is a supervised learning algorithm used for classification and regression tasks.
Decision Tree algorithm is based on a tree-like model of decisions and their possible consequences.
It uses a set of rules to split the data into branches and make predictions at the leaf nodes.
The algorithm selects the best attribute to split the data based on certain criteria like information gain or Gini index.
Deci...
Skills evaluated in this interview
(1 Question)
- Q1. Questions on MLP, ML
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4-12 Yrs
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