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Trexquant interview experience Real time questions & tips from candidates to crack your interview

Data Scientist

Trexquant
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3 rounds | 4 Coding problems

Interview preparation journey

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Journey
I had my degree specialisation in AI and Machine Learning so I had decent knowledge of Ml. Also did lots of DSA problems on various coding platforms.
Application story
Got contacted by an external consultant for this position since he liked my resume and experience, he told me about the company and its requirements and forwarded me an assignment to solve.
Why selected/rejected for the role?
I’m not sure why I was rejected for this role since I was able to answer every question satisfactorily and also gave mathematical explanations wherever required.
Preparation
Duration: 3 months
Topics: Data Science, Machine Learning, Statistics, Quant, Algorithms
Tip
Tip

Tip 1: Have good knowledge of ML
Tip 2: For quant firms, prepare statistics and probability
Tip 3: Have good knowledge of DSA

Application process
Where: Other
Eligibility: No
Resume Tip
Resume tip

Tip 1: Don’t lie on resume
Tip 2: Prepare all questions from resume

Interview rounds

01
Round
Easy
Assignment
Duration30 minutes
Interview date1 Dec 2023
Coding problem1

1. Solve Hangman problem

Problem approach

Use ML models to solve the Hangman problem

02
Round
Easy
Video Call
Duration30 minutes
Interview date4 Jan 2024
Coding problem1

1. 3sum problem

Moderate
15m average time
85% success
0/80
Asked in companies
IntuitSnapdealGrofers

You are given an array/list ARR consisting of N integers. Your task is to find all the distinct triplets present in the array which adds up to a given number K.

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03
Round
Hard
Video Call
Duration65 minutes
Interview date8 Jan 2024
Coding problem2

Round on the hangman assignment + some DSA questions

1. Egg dropping problem

2. Optimized power function implementation

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