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Amazon
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I applied via Naukri.com and was interviewed in Nov 2020. There was 1 interview round.
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 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 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.
I applied via Referral and was interviewed before Jan 2023. There were 5 interview rounds.
Generally 90 min coding test with 3 SQL questions
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.
What new feature would you like to add in Uber?
Tip 1 : Creativity has no limit in such questions
Tip 2 : Suggest any of the dreams that you would like to see in your dream company
Tip 3 : I suggested ideas such as Uber Ambulance, Uber Flights, etc
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
based on 1 review
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