Highspring
Experienced
Naukri
Data analysis/ML experience (8 LPA)
Application Process
I came across this while exploring data-analysis/AI-evaluation roles online. I applied through the official channel, was shortlisted, and went through an initial screening and an interview assessing my analytical thinking and attention to detail.
Interview Rounds (1)
Detailed breakdown of each evaluation round, problems encountered, and round takeaways.
Video Call
Questions & Problems Asked (1)
Problem: AI Model Assessment
I evaluated a dataset of AI-generated responses for relevance, accuracy, and clarity, classifying each and identifying bias/inconsistency with reasoning.
Round Experience
My selection perspective: I believe the rejection was mainly due to my limited hands-on experience in AI-evaluation tasks -- key requirements for the role, versus my stronger backend background.
Round 1 — My Takeaways
- DSA thoroughly, aptitude/puzzles, two good explained projects, arrays/binary search/DP/recursion, common HR questions.
Resume Tips
Highlight data/analysis/problem-solving projects.
Customize my resume per role with relevant keywords.
Preparation Tips
Build attention to detail; practice data labelling for accuracy.
Revise OOP, SQL, basic ML.
Practice analytical thinking on real scenarios.
