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Meril Data Scientist Interview Questions and Answers
Meril Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via Referral and was interviewed in Dec 2023. There were 5 interview rounds.
(2 Questions)
- Q1. Details about the last job: CTC, experience, profile, location
- Q2. Salary expectations, location preference, profile preference
(2 Questions)
- Q1. Based on the CV: basics of ML, NN, RNN, LSTM, CNN
- Q2. Last job-related questions
Python, SQL-based coding questions
(1 Question)
- Q1. Advanced ML questions: related to CNN, Transformer, Vision Transformer
(1 Question)
- Q1. Final CTC negotiation
Interview Preparation Tips
Very few questions and the coding test questions were as per their job description.
Top trending discussions
Interview questions from similar companies
(2 Questions)
- Q1. What was the previous use case that you have implemented in Machine Learning
- Ans.
Implemented a predictive maintenance use case using machine learning algorithms
Collected historical maintenance data from machines
Preprocessed the data to handle missing values and outliers
Trained machine learning models to predict when maintenance is needed
Implemented a dashboard to visualize maintenance predictions
Achieved a significant reduction in unplanned downtime
- Q2. General Discussion
Skills evaluated in this interview
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
(4 Questions)
- Q1. Difference between Tuple and Dictionary
- Ans.
Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.
Tuples are immutable, while dictionaries are mutable.
Tuples are accessed using indexing, while dictionaries are accessed using keys.
Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.
- Q2. What is Adjusted R square
- Ans.
Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.
Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.
It takes into account the number of predictors in the model and adjusts for the degrees of freedom.
Adjusted R square ranges from 0 to 1, where a higher value indic...
- Q3. Which is better Random forest or XG Boost
- Ans.
Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.
Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.
It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.
XG Boost, on the other hand, is a gradient boosting algorith...
- Q4. What is Max pooling
- Ans.
Max pooling is a pooling operation that selects the maximum value from a region of the input data.
Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.
It reduces the spatial dimensions of the input data while retaining the most important features.
Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.
For example, in a 2x...
(1 Question)
- Q1. Questions on cloud computing
Interview Preparation Tips
Skills evaluated in this interview
I was interviewed before Oct 2019.
Interview Questionnaire
1 Question
- Q1. Case study
Interview Preparation Tips
Rohit Sharma
Selected
I applied via Naukri.com and was interviewed before Aug 2023. There were 3 interview rounds.
(1 Question)
- Q1. Experience discussion
Experience related questions and some chemistry.
(1 Question)
- Q1. Experience discussion
(2 Questions)
- Q1. What was the previous use case that you have implemented in Machine Learning
- Ans.
Implemented a predictive maintenance use case using machine learning algorithms
Collected historical maintenance data from machines
Preprocessed the data to handle missing values and outliers
Trained machine learning models to predict when maintenance is needed
Implemented a dashboard to visualize maintenance predictions
Achieved a significant reduction in unplanned downtime
- Q2. General Discussion
Skills evaluated in this interview
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
(4 Questions)
- Q1. Difference between Tuple and Dictionary
- Ans.
Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.
Tuples are immutable, while dictionaries are mutable.
Tuples are accessed using indexing, while dictionaries are accessed using keys.
Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.
- Q2. What is Adjusted R square
- Ans.
Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.
Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.
It takes into account the number of predictors in the model and adjusts for the degrees of freedom.
Adjusted R square ranges from 0 to 1, where a higher value indic...
- Q3. Which is better Random forest or XG Boost
- Ans.
Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.
Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.
It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.
XG Boost, on the other hand, is a gradient boosting algorith...
- Q4. What is Max pooling
- Ans.
Max pooling is a pooling operation that selects the maximum value from a region of the input data.
Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.
It reduces the spatial dimensions of the input data while retaining the most important features.
Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.
For example, in a 2x...
(1 Question)
- Q1. Questions on cloud computing
Interview Preparation Tips
Skills evaluated in this interview
I was interviewed before Oct 2019.
Interview Questionnaire
1 Question
- Q1. Case study
Interview Preparation Tips
Selected
I applied via Walk-in and was interviewed before Jan 2023. There were 2 interview rounds.
General Organic chemistry questions and API related questions
(1 Question)
- Q1. Salary discussion
Interview Preparation Tips
Interview Questionnaire
5 Questions
- Q1. What is the role of pka in HPLC method development
- Ans.
pKa plays a crucial role in HPLC method development by determining the ionization state of analytes and their retention on the stationary phase.
pKa helps in selecting the appropriate mobile phase pH for ionizable compounds.
It influences the ionization of analytes, affecting their solubility and interaction with the stationary phase.
pKa values aid in optimizing separation by adjusting the pH to enhance selectivity and r...
- Q2. How pka value of the product is calculated
- Ans.
The pKa value of a product is calculated based on its acid dissociation constant and the concentration of the acid and its conjugate base.
pKa is a measure of the acidity or basicity of a compound.
It is calculated using the equation: pKa = -log10(Ka), where Ka is the acid dissociation constant.
The acid dissociation constant is the ratio of the concentration of the dissociated form of the acid to the concentration of the...
- Q3. Tyes of titration with mechanism
- Ans.
Titration is a technique used in chemistry to determine the concentration of a substance in a solution.
Acid-base titration: involves the reaction between an acid and a base to determine the concentration of either
Redox titration: involves the transfer of electrons between reactants to determine the concentration of a substance
Complexometric titration: involves the formation of a complex between a metal ion and a ligand...
- Q4. How to develope a HPLC Related substances method
- Ans.
Developing an HPLC related substances method involves selecting appropriate column, mobile phase, and detection wavelength.
Select a suitable column based on the analyte properties and separation requirements.
Optimize the mobile phase composition and gradient program for efficient separation.
Choose an appropriate detection wavelength based on the analyte's UV absorption properties.
Validate the method by testing specific...
- Q5. How many types of GC Capillary column and which one is best& why
- Ans.
There are several types of GC capillary columns, including non-polar, polar, and specialty columns. The best type depends on the specific application and analytes being analyzed.
Non-polar columns are best for separating non-polar compounds, such as hydrocarbons.
Polar columns are ideal for separating polar compounds, such as alcohols and acids.
Specialty columns, like chiral columns, are used for separating enantiomers.
F...
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