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RenewBuy Interview Questions and Answers
21 Interview questions
I come from a close-knit family that values support, love, and shared experiences, which have shaped who I am today.
My parents have always encouraged my education and career aspirations, providing a strong foundation.
I have one younger sister who is pursuing her passion in art, and we often collaborate on creative projects.
Family gatherings are a tradition for us, where we share stories and celebrate milestones to...
I resigned to pursue better growth opportunities and align my career with my long-term goals.
Seeking career advancement: I wanted a role with more leadership responsibilities.
Desire for new challenges: I felt my skills were underutilized in my previous position.
Cultural fit: I was looking for a company whose values aligned more closely with my own.
Work-life balance: I sought a position that offered more flexibilit...
My current CTC is competitive and reflects my experience and contributions in the industry.
My current CTC is $120,000 annually, which includes base salary and bonuses.
I have received consistent raises over the past few years due to performance.
In my last role, I negotiated a 15% increase based on my contributions to a successful project.
I come to sales because it allows me to leverage my skills in relationship-building and strategic thinking to drive business growth.
Passion for building relationships: I enjoy connecting with clients and understanding their needs, which leads to tailored solutions.
Strategic mindset: I thrive on analyzing market trends and developing strategies that align with business goals, as seen in my previous role where I inc...
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 ...
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
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 ...
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.
Linea...
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 scor...
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.
RenewBuy Interview Experiences
44 interviews 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
Paras Verma
Selected
I appeared for an interview in May 2025, where I was asked the following questions.
- Q1. Qualifications & introduction
- Q2. Experience & future goal
- Q3. Hardworking & Achievement life goals
- Q4. Do you have the best knowledge of sales and marketing
- Ans.
I possess extensive knowledge in sales and marketing strategies tailored for the insurance industry.
Experience in developing targeted marketing campaigns that increased policy sales by 30%.
Proficient in utilizing digital marketing tools, such as SEO and social media, to reach potential clients.
Strong understanding of customer relationship management (CRM) systems to track leads and improve sales processes.
Implemented t...
Interview Preparation Tips
Linux System Administrator Interview Questions & Answers
ansari mohammed rizwan
posted on 21 Nov 2024
(2 Questions)
- Q1. What is lvm and what's working
- Ans.
LVM (Logical Volume Manager) is a tool used to manage disk storage in Linux systems by creating logical volumes from physical volumes.
LVM allows for dynamic resizing of logical volumes without the need to unmount the filesystem.
It provides features like striping, mirroring, and snapshotting for better data management.
Commands like pvcreate, vgcreate, lvcreate are used to create physical volumes, volume groups, and logi...
- Q2. Different yum and wget command
- Ans.
yum is a package manager for Red Hat-based systems, while wget is a command-line tool for downloading files from the internet.
yum is used for installing, updating, and removing packages on Red Hat-based systems
wget is used for downloading files from the internet, supports HTTP, HTTPS, and FTP protocols
yum command example: yum install httpd
wget command example: wget https://example.com/file.zip
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. Self Introduction
- Ans.
Dynamic Sales Manager with over 8 years of experience driving revenue growth and building strong client relationships.
Proven track record of exceeding sales targets by 30% year-over-year.
Led a team of 10 sales representatives, providing training and mentorship to enhance performance.
Developed and implemented strategic sales plans that increased market share in competitive regions.
Successfully launched a new product lin...
- Q2. Previous Company Roles & Responsibility
I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. Slicing in List of Python
- Ans.
Slicing in Python allows you to extract a subset of elements from a list.
Slicing is done using square brackets and the start:stop:step notation.
The start index is inclusive, while the stop index is exclusive.
You can omit any of the three parameters, defaulting to 0 for start, length of list for stop, and 1 for step.
Negative indices can be used to slice from the end of the list.
Example: list = [1, 2, 3, 4, 5], list[1:4]...
- Q2. Multithreading questions were asked
Skills evaluated in this interview
Selected
I appeared for an interview in Dec 2024, where I was asked the following questions.
- Q1. What is your business target
- Ans.
My business target is to achieve a 20% increase in sales revenue through strategic client engagement and innovative insurance solutions.
Focus on building strong relationships with clients to understand their needs better.
Implement targeted marketing campaigns to reach potential customers, such as social media ads.
Set quarterly sales goals and track progress to ensure targets are met.
Utilize data analytics to identify t...
- Q2. How you can improve company revenue
- Ans.
Enhancing company revenue involves strategic marketing, customer engagement, and optimizing sales processes.
Implement targeted marketing campaigns to reach specific demographics, such as young families or retirees.
Enhance customer service training to improve client retention and satisfaction, leading to increased referrals.
Utilize data analytics to identify trends and tailor insurance products to meet emerging customer...
- Q3. How you can build your success full team
- Ans.
Building a successful insurance sales team requires strategic hiring, ongoing training, and fostering a positive culture.
Identify the right talent: Look for individuals with strong communication skills and a passion for sales. For example, hire candidates with a proven track record in sales.
Provide comprehensive training: Implement regular training sessions on product knowledge and sales techniques. For instance, condu...
- Q4. What is your business potential area
- Ans.
My business potential area lies in expanding insurance coverage for underserved markets and leveraging technology for customer engagement.
Targeting small businesses that lack comprehensive insurance options.
Developing tailored insurance products for freelancers and gig economy workers.
Utilizing data analytics to identify high-risk areas and offer customized solutions.
Implementing digital platforms for easier policy man...
- Q5. What is your business field like Life or general insurance
- Ans.
The insurance business encompasses life and general insurance, each serving distinct needs and markets.
Life insurance focuses on providing financial security to beneficiaries upon the policyholder's death, e.g., term life policies.
General insurance covers a wide range of products like auto, home, and health insurance, protecting against various risks.
Life insurance products often include savings and investment componen...
- Q6. How you can approach health insurance customer
Interview Preparation Tips
Kartik shukla
Asked Question from Tree nad linked list
(1 Question)
- Q1. About JWT and SQL query
(5 Questions)
- Q1. What is the reason resignation other company
- Ans.
I resigned to pursue better growth opportunities and align my career with my long-term goals.
Seeking career advancement: I wanted a role with more leadership responsibilities.
Desire for new challenges: I felt my skills were underutilized in my previous position.
Cultural fit: I was looking for a company whose values aligned more closely with my own.
Work-life balance: I sought a position that offered more flexibility and...
- Q2. What is your ctc
- Ans.
My current CTC is competitive and reflects my experience and contributions in the industry.
My current CTC is $120,000 annually, which includes base salary and bonuses.
I have received consistent raises over the past few years due to performance.
In my last role, I negotiated a 15% increase based on my contributions to a successful project.
- Q3. What is comfortable location
- Q4. Why you come sels
- Ans.
I come to sales because it allows me to leverage my skills in relationship-building and strategic thinking to drive business growth.
Passion for building relationships: I enjoy connecting with clients and understanding their needs, which leads to tailored solutions.
Strategic mindset: I thrive on analyzing market trends and developing strategies that align with business goals, as seen in my previous role where I increase...
- Q5. What is your family members
- Ans.
I come from a close-knit family that values support, love, and shared experiences, which have shaped who I am today.
My parents have always encouraged my education and career aspirations, providing a strong foundation.
I have one younger sister who is pursuing her passion in art, and we often collaborate on creative projects.
Family gatherings are a tradition for us, where we share stories and celebrate milestones togethe...
Selected
I appeared for an interview in Sep 2024, where I was asked the following questions.
- Q1. Self introduction
- Q2. Business month mode
- Ans.
Business month mode refers to the strategic planning and performance evaluation based on monthly business cycles.
Monthly Performance Reviews: Regular assessments of sales and operational metrics to identify trends and areas for improvement.
Budgeting and Forecasting: Establishing monthly budgets and forecasts to align resources with business goals, such as increasing sales by 10% each month.
Sales Cycle Analysis: Underst...
Selected
I applied via Walk-in and was interviewed in May 2024. There were 2 interview rounds.
Will give training on Motor and Health Insurance and will take a final assignment for the same, it is necessary to be qualified.
I gave an assignment on motor insurance where I passed with 76%.
Interview Preparation Tips
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Overall Interview Experience Rating
based on 52 interview experiences
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RenewBuy Reviews and Ratings
based on 659 reviews
Rating in categories
5-7 Yrs
₹ 3.3-4.5 LPA
1-2 Yrs
Not Disclosed
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