i
Amazon
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Filter interviews by
Basic DSA questions will be asked Leetcode Easy to medium
BERT is faster than LSTM due to its transformer architecture and parallel processing capabilities.
BERT utilizes transformer architecture which allows for parallel processing of words in a sentence, making it faster than LSTM which processes words sequentially.
BERT has been shown to outperform LSTM in various natural language processing tasks due to its ability to capture long-range dependencies more effectively.
For exa...
Multinomial Naive Bayes is a classification algorithm based on Bayes' theorem with the assumption of independence between features.
It is commonly used in text classification tasks, such as spam detection or sentiment analysis.
It is suitable for features that represent counts or frequencies, like word counts in text data.
It calculates the probability of each class given the input features and selects the class with the
I was interviewed in Dec 2023.
English, number system, grammar
Python , data science, machine learning
Python machine learning, natural language precossing
Python basics include syntax, data types, and control structures. Libraries like NumPy, Pandas, and Matplotlib enhance data analysis and visualization.
Python basics cover syntax, variables, data types, and control structures.
NumPy is a library for numerical computing, providing powerful array operations.
Pandas is a library for data manipulation and analysis, offering data structures like DataFrames.
Matplotlib is a libr...
Indian environment, village, college days
I was interviewed in Dec 2021.
Round duration - 60 minutes
Round difficulty - Easy
Timing: 8:00-9:00 PM
There was 1 MCQ and 3 SQL queries. The platform was easy to use and navigate.
Round duration - 30 minutes
Round difficulty - Medium
Timing: 11 AM-11:30 AM
The interviewer was very kind and helpful. He helped me by giving hints whenever I was stuck.
Round duration - 30 minutes
Round difficulty - Medium
Timing: 12:15 PM to 12:45 PM.
The interviewer was very helpful and friendly. He was more interested in my approach rather than the final answer.
Round duration - 30 minutes
Round difficulty - Hard
Timing: 3:00PM to 3:30PM
This was Hiring Manager round. He asked me case study type of questions.
Tip 1 : Practice SQL and python coding questions using online coding platforms.
Tip 2 : Get in-depth theoretical knowledge about all the machine learning algorithms.
Tip 3 : Strengthen your statistics understanding.
Tip 1 : Highlight your skills properly
Tip 2 : Have thorough understanding about everything written in the resume
I applied via Referral and was interviewed before Oct 2023. There were 2 interview rounds.
Resume points are concise descriptions of your work experience, skills, and achievements listed on your resume.
Resume points should be clear, specific, and quantifiable.
Use action verbs to start each point, such as 'developed', 'implemented', 'analyzed'.
Include relevant metrics or results to demonstrate impact, such as 'increased sales by 20%' or 'reduced processing time by 30%'.
SQL - shared question on the screen and asked to code in SQL
I applied via LinkedIn and was interviewed in Sep 2024. There was 1 interview round.
Developed a predictive model to forecast customer churn for a telecom company
Collected and cleaned customer data including demographics, usage patterns, and customer service interactions
Used machine learning algorithms such as logistic regression and random forest to build the predictive model
Evaluated model performance using metrics like accuracy, precision, recall, and ROC curve
Provided actionable insights to the com
I applied via Approached by Company and was interviewed in Nov 2022. There were 4 interview rounds.
Live SQL Coding and Product sense questions. You can practice SQL using Stratascratch or Hackerrank. For product sense, refer to dataandmetrics.com or interviewquery.
Stats, ML and product questions.
based on 2 interviews
Interview experience
based on 2 reviews
Rating in categories
Customer Service Associate
4.2k
salaries
| ₹0.6 L/yr - ₹5 L/yr |
Transaction Risk Investigator
3.1k
salaries
| ₹2.3 L/yr - ₹6.5 L/yr |
Associate
2.8k
salaries
| ₹0.8 L/yr - ₹6.6 L/yr |
Senior Associate
2.5k
salaries
| ₹2 L/yr - ₹10.1 L/yr |
Program Manager
2.3k
salaries
| ₹9 L/yr - ₹36 L/yr |
Flipkart
TCS
Netflix