L&t

Role: Not Specified (Fresher - Machine Learning Focus)

College: Not Specified

Interview Date: Not Specified (experience published Nov 2023)

Interview Type: Full-Time

Result: Rejected

Difficulty: Hard

Rounds: 3 rounds

Topics Asked: Technical MCQs, Quantitative Reasoning, Verbal Reasoning, Coding (debugging, data structures), Projects, Advanced Machine Learning Algorithms

Experience:

This interview experience is from Priya Verma, a B.Tech in Computer Science graduate with a focus on machine learning and a strong foundation in Python.

Round 1 was an Online Assessment. Priya found this round quite challenging, particularly the technical MCQs. However, she was well-prepared for the quantitative and verbal reasoning sections, which helped her proceed to the next round.

Round 2 was the Coding Challenge, described as a "rollercoaster of emotions." While she initially felt confident, the problems presented a mix of straightforward and complex challenges. Level 1 involved an English communication test and a tricky coding challenge that required debugging multiple times. Level 2 presented a more complex coding problem involving data structures, which she struggled with but managed to solve within the time limit.

Round 3 was the Technical Interview, which Priya found intense. The interviewers asked about her projects and some advanced machine learning algorithms. She was able to answer most questions but "stumbled on a few." Despite the learning opportunity, she was not selected for the next round.