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dhiOmics Analytics Machine Learning Scientist Interview Questions and Answers
dhiOmics Analytics Machine Learning Scientist Interview Experiences
2 interviews found
Anonymous
Selected
I applied via Job Fair and was interviewed in Feb 2023. There were 5 interview rounds.
Aptitude round consist of both 10 general python questions and 10 aptitude questions
One question- Write a programme to print prime palindromic numbers between 10 to 500
(1 Question)
- Q1. 1.Different Types of Joins 2.What is normal distribution 3.Difference between skewness and kurtosis 4.Draw different skewed diagrams on paper and point out mean,median and mode 5.Explain about Window funct...
- Ans.
Interview questions for Machine Learning Scientist position
Different types of joins: inner, left, right, full outer
Normal distribution: bell-shaped curve with mean and standard deviation
Skewness: measure of asymmetry in data, Kurtosis: measure of peakedness in data
Window functions: perform calculations across a set of rows that are related to the current row
Rank vs Dense rank: Rank assigns unique rank to each distinct ...
(1 Question)
- Q1. Aptitude and comprehension round
Interview Preparation Tips
All the best.............................................................
Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. Basics of Python, SQL, ML
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Interview Preparation Tips
Experience: There were 3 rounds, All related to statistics and machine learning and whatever stuffs I had mentioned in my resume. HR round was not there. The partner of the firm just briefed me a bit about the company and asked me to relax without asking any questions in the third round.
Tips: Interview will be fun if you are thorough about your resume and it will be a cakewalk to you.
General Tips: Do's :
1. Prepare for Aptitude very seriously. Puzzles are important but aptitude is must.
2. Be thorough about everything you had specified in your resume
3. Be honest while creating your resume (It helps a lot)
Don'ts :
1. Don't get broken if you are not getting selected in Day 1 or 2 or so.
2. Don't over-prepare for case interviews, they are fairly simple.
Final Tips :
Be confident about yourself. Your attitude in the interview matters a lot. And don't lie even a bit in your resume. Many got selected with a poor resume than those with huge exaggerations.
College Name: IIT Kanpur
I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Basic Hypothesis Understanding !
- Q2. Apache Spark and Data Frames
Interview Preparation Tips
(1 Question)
- Q1. Confusion Matrix, RoC curve
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. Basic ML
I applied via LinkedIn and was interviewed in Mar 2021. There were 3 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Python pandas operation and ML algorithm in details like Random Forest, Logistic regression, Decision Tree Classifier and ML optimization technique like Gradient Descent, Regularisation L1 & L2 etc.
- Q2. Python basics and Numpy libraries knowledge must have.
Interview Preparation Tips
If you don't know any asked Questions then your answer should be like, I know and worked as well but unable to recall right now.
Thanks
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Nothing much technical
Interview Preparation Tips
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
I applied via Recruitment Consultant and was interviewed in Sep 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Machine learning concepts[Regression and classification] ,Python and Sql Basics
Interview Preparation Tips
I applied via Campus Placement
Interview Questionnaire
1 Question
- Q1. 1)Tell me about yourself 2)explain about your projects 3) what is covariance,ttest, normal distribution, sampling distribution?
- Ans.
I am a data scientist with expertise in statistical analysis, machine learning, and data visualization, passionate about solving complex problems.
Projects include predictive modeling for sales forecasting using regression analysis.
Developed a classification model for customer segmentation using k-means clustering.
Conducted A/B testing to evaluate the effectiveness of marketing strategies.
Utilized Python and R for data ...
Interview Preparation Tips
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dhiOmics Analytics Machine Learning Scientist Reviews and Ratings
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Rating in categories
|
Machine Learning Scientist
36
salaries
|  ₹3.2 L/yr - ₹6.5 L/yr |
|
Data Analyst
22
salaries
| ₹4 L/yr - ₹8.1 L/yr |
|
Data Scientist
14
salaries
| ₹3.7 L/yr - ₹7 L/yr |
|
Machine Learning Engineer
7
salaries
| ₹3.6 L/yr - ₹5.5 L/yr |
|
Business Analyst
6
salaries
| ₹4.7 L/yr - ₹6.5 L/yr |
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