Background: Bachelor’s degree in Computer Science Engineering from a Tier 2 institute.
Technical Round – 1 (1 Hour) Interviewed by Data Scientist 3
Interviewer: Data Scientist 3
Duration: 1 Hour
Content:
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Machine Learning Situation-Based Problems:
I was asked to share my screen and explain solutions to machine-learning problems. This likely involved discussing real-world scenarios, model selection, and problem-solving approaches. -
DSA Questions:
The interview also included two Data Structure and Algorithm (DSA) questions related to Doubly Linked Lists. This tested my ability to apply foundational computer science concepts to problem-solving.
Technical Round – 2 (1 Hour) Interviewed by Engineering Manager
Interviewer: Engineering Manager
Duration: 1 Hour
Content:
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Resume Project Deep Dive:
The interview involved a thorough examination of the projects listed on my resume. I was asked to provide detailed explanations of the projects, the problems I aimed to solve, the methodologies I employed, and the outcomes.
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LSTM Architecture and Mathematical Equations:
I was asked to share your screen to explain the architecture of Long Short-Term Memory (LSTM) networks. This would involve discussing the layers, activation functions, and the flow of information within the network. Additionally, I was questioned on the mathematical equations behind LSTM, demonstrating my understanding of the underlying principles.
Result: Selected