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RenewBuy Senior Data Scientist Interview Questions, Process, and Tips
RenewBuy Senior Data Scientist Interview Experiences
1 interview found
Anonymous
I appeared for an interview in Dec 2024.
(8 Questions)
- Q1. Can you describe your current project or any past projects that are related to machine learning?
- Ans.
Developed a machine learning model to predict customer churn for a telecom company.
Used supervised learning techniques such as logistic regression and random forests
Preprocessed data by handling missing values and encoding categorical variables
Evaluated model performance using metrics like accuracy, precision, and recall
- Q2. What is Linnear regression ?
- Ans.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression aims to find the best-fitting straight line that describes the relationship between variables.
It is commonly used for prediction and forecasting in various fields such as finance, economics, and social sciences.
The equation for linear regression is typically repre...
- Q3. Diff betn linnear and logistic regression?
- Ans.
Linear regression is used for continuous variables while logistic regression is used for binary classification.
Linear regression predicts continuous values while logistic regression predicts probabilities.
Linear regression uses a linear equation to model the relationship between the independent and dependent variables.
Logistic regression uses the logistic function to model the probability of a binary outcome.
Linear reg...
- Q4. Diff betn random forest vs decision tree algorithm?
- Ans.
Random forest is an ensemble learning method that uses multiple decision trees to make predictions.
Random forest is a collection of decision trees that are trained on different subsets of the data.
Decision tree is a single tree-like structure that makes decisions based on features of the data.
Random forest reduces overfitting by averaging the predictions of multiple trees.
Decision tree can be prone to overfitting if no...
- Q5. Formula for precision?
- Ans.
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.
Precision = True Positives / (True Positives + False Positives)
It is a measure of the accuracy of the positive predictions made by the model.
A high precision indicates that the model is good at predicting positive cases without many false positives.
- Q6. Common metrics to find accuracy of linnear regression model and Logistic regression model?
- Ans.
Common metrics for linear and logistic regression models are R-squared and confusion matrix respectively.
For linear regression model, common metric is R-squared which measures the proportion of the variance in the dependent variable that is predictable from the independent variables.
For logistic regression model, common metric is confusion matrix which includes metrics like accuracy, precision, recall, and F1 score to ...
- Q7. What is recall and F1?
- Ans.
Recall is the ratio of correctly predicted positive observations to the all observations in actual class. F1 is the harmonic mean of precision and recall.
Recall is calculated as TP / (TP + FN)
F1 score is calculated as 2 * (precision * recall) / (precision + recall)
Recall is important in scenarios where false negatives are costly, like in medical diagnosis
- Q8. Tell me example of ensemble technique?
- Ans.
Ensemble technique combines multiple models to improve prediction accuracy.
Ensemble methods include bagging, boosting, and stacking
Random Forest is an example of ensemble technique using bagging
Gradient Boosting Machine (GBM) is an example of ensemble technique using boosting
Interview questions from similar companies
I applied via Company Website and was interviewed in Jan 2021. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. About General Insurannce bancasurance experience
- Q2. Let it be very clear when you are speaking about general Insurance and also about your chanel sales developement.
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed before Mar 2022. There were 4 interview rounds.
Preparing media plan for app campaign at a certain budget and expected installs first orders etc
(3 Questions)
- Q1. Guessestimate and general mathematical aptitude
- Q2. No of petrol pumps in city
- Ans.
The number of petrol pumps in the city is not available.
I do not have access to the data on the number of petrol pumps in the city.
It would be best to consult the city's government or relevant authorities for this information.
Alternatively, one could conduct a survey or research to estimate the number of petrol pumps in the city.
- Q3. How would you optimize the campaigns in terms of bids budgets
- Ans.
Optimizing bids and budgets involves analyzing data, setting goals, and adjusting strategies accordingly.
Analyze campaign data to identify top-performing keywords and adjust bids accordingly
Set clear goals for each campaign and allocate budgets accordingly
Regularly monitor and adjust bids and budgets based on performance data
Consider using automated bidding strategies to save time and improve efficiency
Use A/B testing ...
(2 Questions)
- Q1. Why do you want to join meesho
- Q2. Basics of Digital marketing CPM CTR CPC difference
Interview Preparation Tips
- Digital Marketing
- growth marketing
I applied via Approached by Company and was interviewed in Jan 2022. There were 4 interview rounds.
(1 Question)
- Q1. Fundamentals and Basics of android, projects you are worked on.
It was sort of pair programming where you will be told to implement some feature. Here they check your coding style, your approach and the architecture you follow.
(1 Question)
- Q1. Advanced android questions were asked and some scenario based questions.
(1 Question)
- Q1. It was managerial round, most discussion were on my projects and past experience.
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.
Test was based on SQL, coding and MCQ. Coding involved nested query.
vinay kalikota
There are 2 coding challenges and 7 objective questions
(1 Question)
- Q1. Technical questions related to role
Gautham Reddy
(2 Questions)
- Q1. Interviewer asked me basic SQL questions
- Q2. In the second technical round he asked me advanced SQL topics (Windows Functions, Joins & Subqueries)
In the second technical round interview asked me about advanced sql topics, theory questions and two coding questions in joins and window functions.
I applied via Referral and was interviewed before Sep 2023. There were 3 interview rounds.
Quant, LR, puzzles, cat based level 2 questions
(2 Questions)
- Q1. Difference between tuple nd list
- Ans.
Tuple is immutable and ordered, while list is mutable and ordered in Python.
Tuple is created using parentheses () while list is created using square brackets []
Tuple elements cannot be changed once assigned, while list elements can be modified
Tuple is faster than list for iteration and accessing elements
Example: tuple = (1, 2, 3) and list = [1, 2, 3]
- Q2. How will you cut a cake into 8 equal pieces by 3 cuts
(2 Questions)
- Q1. Walk me through ur cv
- Ans.
I have a strong background in data analysis with experience in various industries.
Bachelor's degree in Statistics with a focus on data analysis
Proficient in SQL, Python, and data visualization tools like Tableau
Experience working with large datasets and conducting statistical analysis
Completed internships at XYZ Company and ABC Organization
Presented findings at industry conferences
- Q2. What have learnt from this experience?
- Ans.
I have learned to effectively analyze and interpret data to derive meaningful insights and make informed decisions.
Developed strong analytical skills through hands-on experience with various data analysis tools and techniques
Improved ability to identify trends, patterns, and outliers in data sets
Enhanced communication skills by presenting findings and recommendations to stakeholders
Learned to collaborate with team memb
Interview Preparation Tips
Skills evaluated in this interview
Annu Kumari
(1 Question)
- Q1. Introduction work experience
(1 Question)
- Q1. About company, why would join us Analytics questions
I applied via Walk-in and was interviewed in Jan 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Basic java 8 concepts
- Q2. Basic spring boot questions
(1 Question)
- Q1. Project discussion and basic java spring technical questions
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