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VOOZH | about |
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VOOZH | about |
I am sharing my on-campus interview experience with Wells Fargo to help students understand the recruitment process, interview pattern, and preparation strategy. The selection process consisted of an online aptitude test followed by three interview rounds (two technical and one HR).
The aptitude test was conducted on the SHL platform and served as the first elimination round. The test consisted of the following four sections:
This section included questions on grammar, sentence correction, and reading comprehension. The difficulty level was moderate and mainly tested basic language proficiency.
This section focused on analytical thinking using real-world business scenarios. Questions involved interpreting tables, graphs, and case-based data.
Two coding problems were asked, primarily based on arrays and strings. The difficulty ranged from LeetCode Easy to Medium.
This was a unique section designed to test logical reasoning and algorithmic understanding. It included a simple coding problem requiring the implementation of the Floyd–Warshall Algorithm within 10 minutes.
Result:
Approximately 160 students appeared, and 21 students were shortlisted for the interview rounds.
The first technical interview was conducted virtually and lasted for about 1 hour. This round focused on projects, DSA fundamentals, and core computer science subjects.
The interview started with my self-introduction, followed by a discussion on my projects. The interviewer asked about technologies used, real-world applications, and challenges faced during implementation. Since my project was based on AI/ML, the discussion included questions on model selection, preprocessing techniques, and evaluation metrics.
After the project discussion, the interviewer shifted to Data Structures and Algorithms.
Problem Asked:
I initially explained the Max Heap approach. The interviewer then asked me to optimize the solution in terms of space, after which I discussed the QuickSort approach. This further led to questions on time–space complexity and sorting algorithms.
Out of 21 students, 16 students cleared this round.
The second technical interview was also conducted online and lasted about 1 hour. This round was more challenging.
It started with introductions, followed by an in-depth discussion on DSA. The interviewer then shifted focus to my AI/ML project, suggesting possible improvements and asking how I would implement them. This required critical thinking and a strong understanding of real-world applications.
The interviewer framed problem statements and asked me to explain my approach and solution strategy.
The discussion again moved to core CS fundamentals and also touched upon my academic performance.
This round involved many cross-questions, so having clarity on fundamentals and projects was crucial.
Out of 16 students, 11 students progressed to the HR round.
The HR round was conducted online and lasted around 15–20 minutes. Compared to the technical rounds, it was relatively relaxed and conversational, focusing mainly on personality, motivation, and cultural fit.
The topics discussed included:
The interviewer primarily evaluated my communication skills, confidence, and alignment with the company’s values.
All 11 students were offered internship positions.
Stay calm throughout the interview process and do not get discouraged by rejections. Regular practice and continuous improvement are key to success. With the right preparation and mindset, clearing such interviews is achievable.
