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Ecozen Solutions Data Scientist Interview Questions and Answers
Ecozen Solutions Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via Naukri.com and was interviewed in Jun 2022. There were 7 interview rounds.
(1 Question)
- Q1. The first round was the HR round, where I was asked about myself, salary expectations, interests, specialization, etc. Then I was informed about the various roles where I could fit in, and also I was infor...
(2 Questions)
- Q1. In the technical round, I was asked core questions from the work I had done earlier and situational questions like if we were to do this, then what could have been done, etc. Then there were some questions...
- Q2. Very briefly, I was asked about some data science concepts, too, and also if I knew or had worked on Kalman filtering and its variants. In the end, I was asked to read 3-4 articles about the subject I was ...
(1 Question)
- Q1. In this round, I was interviewed again for around 1:15-1:30 hours by the CTO of the company. It was, again, purely technical, and I was drilled from the topics on which I had worked. It was again a one-to-...
This was a predictive Test round where I was asked 50 aptitude/English and logical questions to be done in 12 minutes.
(1 Question)
- Q1. This was the final round with the head of HR and the CEO of the company. It was mostly a non-technical round where again, I was asked situational questions, drilled about my learnings from my education so ...
(1 Question)
- Q1. The last round was the salary negotiation round. I was also told in detail about my salary components and their breakage.
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I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
(1 Question)
- Q1. What is your notice period.
I applied via Approached by Company and was interviewed before Sep 2021. There were 4 interview rounds.
(1 Question)
- Q1. Technical questions about machine learning and data science
(1 Question)
- Q1. Machine learning and data science and about past industry projects
(1 Question)
- Q1. Salary discussion and about joining. Roles explained by HR
Interview Preparation Tips
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
- Ans.
Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest
Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf
ROC curve is a graphical representation of...
Interview Preparation Tips
Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. Basic ML questions and projects
I applied via Campus Placement and was interviewed before Feb 2019. There were 3 interview rounds.
Interview Questionnaire
4 Questions
- Q1. 1. How to choose optimum probability threshold from ROC?
- Ans.
To choose optimum probability threshold from ROC, we need to balance between sensitivity and specificity.
Choose the threshold that maximizes the sum of sensitivity and specificity
Use Youden's J statistic to find the optimal threshold
Consider the cost of false positives and false negatives
Use cross-validation to evaluate the performance of different thresholds
- Q2. 2. How to test time series trend break up?
- Ans.
To test time series trend break up, statistical tests like Augmented Dickey-Fuller test can be used.
Augmented Dickey-Fuller test can be used to check if a time series is stationary or not.
If the time series is not stationary, we can use differencing to make it stationary.
After differencing, we can again perform the Augmented Dickey-Fuller test to check for stationarity.
If there is a significant change in the mean or va...
- Q3. 3. How do you deal with senior customer when you don't have enough data?
- Ans.
Communicate transparently and offer alternative solutions.
Explain the limitations of the available data and the potential risks of making decisions based on incomplete information.
Offer alternative solutions that can be implemented with the available data.
Collaborate with the customer to identify additional data sources or explore other options to gather more data.
Provide regular updates on the progress of data collect...
- Q4. 4. Do you prefer working in clear defined goal space or where customer isn't sure what he wants?
Interview Preparation Tips
Skills evaluated in this interview
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 LinkedIn and was interviewed in Dec 2020. There were 5 interview rounds.
Interview Questionnaire
2 Questions
- Q1. About the project and one case study on pricing of any goods in a store
- Q2. Managerial round was full with behavioral questions. All questions were starting with "Tell me a scenario where ......." (a toxic environment and how did you overcome from that/ your and your manager's app...
Interview Preparation Tips
I applied via Approached by Company and was interviewed before Oct 2021. There were 4 interview rounds.
(1 Question)
- Q1. Gtky and your projects
Hypothetical case was given and was told to solve it .
(1 Question)
- Q1. Managerial round where they look at your fit in the org
Interview Preparation Tips
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
(3 Questions)
- Q1. Describe a decision tree
- Ans.
A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.
It is a tree-like structure with nodes representing decisions and branches representing outcomes
Each node has a condition that determines which branch to follow
It is commonly used in machine learning for classification and regression tasks
Example: A decision tree for predicting whether a customer will bu...
- Q2. What is random forest
- Ans.
Random forest is an ensemble learning method for classification, regression and other tasks.
Random forest builds multiple decision trees and combines their outputs to improve accuracy.
It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.
Random forest can be used for both classification and regression tasks.
It is resistant to overfitting and can handle missing data.
Exa...
- Q3. What is neural network
- Ans.
Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.
Consists of layers of interconnected nodes that process information
Used for tasks such as image recognition, natural language processing, and prediction
Can be trained using supervised, unsupervised, or reinforcement learning
Examples include convolutional neural networks, recurrent neural networks, and deep n
Leetcode style coding
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Skills evaluated in this interview
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Ecozen Solutions Data Scientist Reviews and Ratings
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